The potential contributions of geographic information science to the study of social determinants of health in Iran.

Science.gov (United States)

Rabiei-Dastjerdi, Hamidreza; Matthews, Stephen A

2018-01-01

Recent interest in the social determinants of health (SDOH) and the effects of neighborhood contexts on individual health and well-being has grown exponentially. In this brief communication, we describe recent developments in both analytical perspectives and methods that have opened up new opportunities for researchers interested in exploring neighborhoods and health research within a SDOH framework. We focus specifically on recent advances in geographic information science, statistical methods, and spatial analytical tools. We close with a discussion of how these recent developments have the potential to enhance SDOH research in Iran.

Geographic information systems (GIS) for Health Promotion and Public Health: a review.

Science.gov (United States)

Nykiforuk, Candace I J; Flaman, Laura M

2011-01-01

The purpose of this literature review is to identify how geographic information system (GIS) applications have been used in health-related research and to critically examine the issues, strengths, and challenges inherent to those approaches from the lenses of health promotion and public health. Through the review process, conducted in 2007, it is evident that health promotion and public health applications of GIS can be generally categorized into four predominant themes: disease surveillance (n = 227), risk analysis (n = 189), health access and planning (n = 138), and community health profiling (n = 115). This review explores how GIS approaches have been used to inform decision making and discusses the extent to which GIS can be applied to address health promotion and public health questions. The contribution of this literature review will be to generate a broader understanding of how GIS-related methodological techniques and tools developed in other disciplines can be meaningfully applied to applications in public health policy, promotion, and practice.

Regional Geographic Information Systems of Health and Environmental Monitoring

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Kurolap Semen A.

2016-12-01

Full Text Available The article describes a new scientific and methodological approach to designing geographic information systems of health and environmental monitoring for urban areas. Geographic information systems (GIS are analytical tools of the regional health and environmental monitoring; they are used for an integrated assessment of the environmental status of a large industrial centre or a part of it. The authors analyse the environmental situation in Voronezh, a major industrial city, located in the Central Black Earth Region with a population of more than 1 million people. The proposed research methodology is based on modern approaches to the assessment of health risks caused by adverse environmental conditions. The research work was implemented using a GIS and multicriteria probabilistic and statistical evaluation to identify cause-and-effect links, a combination of action and reaction, in the dichotomy ‘environmental factors — public health’. The analysis of the obtained statistical data confirmed an increase in childhood diseases in some areas of the city. Environmentally induced diseases include congenital malformations, tumors, endocrine and urogenital pathologies. The main factors having an adverse impact on health are emissions of carcinogens into the atmosphere and the negative impact of transport on the environment. The authors identify and characterize environmentally vulnerable parts of the city and developed principles of creating an automated system of health monitoring and control of environmental risks. The article offers a number of measures aimed at the reduction of environmental risks, better protection of public health and a more efficient environmental monitoring.

Sampling in health geography: reconciling geographical objectives and probabilistic methods. An example of a health survey in Vientiane (Lao PDR

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Bochaton Audrey

2007-06-01

Full Text Available Abstract Background Geographical objectives and probabilistic methods are difficult to reconcile in a unique health survey. Probabilistic methods focus on individuals to provide estimates of a variable's prevalence with a certain precision, while geographical approaches emphasise the selection of specific areas to study interactions between spatial characteristics and health outcomes. A sample selected from a small number of specific areas creates statistical challenges: the observations are not independent at the local level, and this results in poor statistical validity at the global level. Therefore, it is difficult to construct a sample that is appropriate for both geographical and probability methods. Methods We used a two-stage selection procedure with a first non-random stage of selection of clusters. Instead of randomly selecting clusters, we deliberately chose a group of clusters, which as a whole would contain all the variation in health measures in the population. As there was no health information available before the survey, we selected a priori determinants that can influence the spatial homogeneity of the health characteristics. This method yields a distribution of variables in the sample that closely resembles that in the overall population, something that cannot be guaranteed with randomly-selected clusters, especially if the number of selected clusters is small. In this way, we were able to survey specific areas while minimising design effects and maximising statistical precision. Application We applied this strategy in a health survey carried out in Vientiane, Lao People's Democratic Republic. We selected well-known health determinants with unequal spatial distribution within the city: nationality and literacy. We deliberately selected a combination of clusters whose distribution of nationality and literacy is similar to the distribution in the general population. Conclusion This paper describes the conceptual reasoning behind

Sampling in health geography: reconciling geographical objectives and probabilistic methods. An example of a health survey in Vientiane (Lao PDR).

Science.gov (United States)

Vallée, Julie; Souris, Marc; Fournet, Florence; Bochaton, Audrey; Mobillion, Virginie; Peyronnie, Karine; Salem, Gérard

2007-06-01

Geographical objectives and probabilistic methods are difficult to reconcile in a unique health survey. Probabilistic methods focus on individuals to provide estimates of a variable's prevalence with a certain precision, while geographical approaches emphasise the selection of specific areas to study interactions between spatial characteristics and health outcomes. A sample selected from a small number of specific areas creates statistical challenges: the observations are not independent at the local level, and this results in poor statistical validity at the global level. Therefore, it is difficult to construct a sample that is appropriate for both geographical and probability methods. We used a two-stage selection procedure with a first non-random stage of selection of clusters. Instead of randomly selecting clusters, we deliberately chose a group of clusters, which as a whole would contain all the variation in health measures in the population. As there was no health information available before the survey, we selected a priori determinants that can influence the spatial homogeneity of the health characteristics. This method yields a distribution of variables in the sample that closely resembles that in the overall population, something that cannot be guaranteed with randomly-selected clusters, especially if the number of selected clusters is small. In this way, we were able to survey specific areas while minimising design effects and maximising statistical precision. We applied this strategy in a health survey carried out in Vientiane, Lao People's Democratic Republic. We selected well-known health determinants with unequal spatial distribution within the city: nationality and literacy. We deliberately selected a combination of clusters whose distribution of nationality and literacy is similar to the distribution in the general population. This paper describes the conceptual reasoning behind the construction of the survey sample and shows that it can be

Perceptions of clients on awareness and the geographical location of a South African university sexual health clinic.

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Adams, Rukshana; Van Der Heever, Mariana M; Damons, Anneleen

2017-09-27

The Campus Health Service at Stellenbosch University has a sub-division, a sexual health clinic, which provides sexual health services. The clients of the sexual health clinic consist of staff members and students. This article reports on the perceptions of clients that relate to awareness and the geographical location of the clinic. The Campus Health Service at Stellenbosch University's main campus. A descriptive qualitative approach was applied utilising in-depth interviews. A sample of n = 15 was drawn through purposive sampling and data saturation was achieved with the sample. The following themes emerged from the data: location of the clinic, awareness of sexual health services and marketing and advertising. The findings of the study revealed that accessibility of the clinic is influenced by the geographical location of the clinic and that marketing and awareness of services require attention.

Geographical variation in cardiovascular incidence: results from the British Women's Heart and Health Study

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Ebrahim Shah

2010-11-01

Full Text Available Abstract Background Prevalence of cardiovascular disease (CVD in women shows regional variations not explained by common risk factors. Analysis of CVD incidence will provide insight into whether there is further divergence between regions with increasing age. Methods Seven-year follow-up data on 2685 women aged 59-80 (mean 69 at baseline from 23 towns in the UK were available from the British Women's Heart and Health Study. Time to fatal or non-fatal CVD was analyzed using Cox regression with adjustment for risk factors, using multiple imputation for missing values. Results Compared to South England, CVD incidence is similar in North England (HR 1.05 (95% CI 0.84, 1.31 and Scotland (0.93 (0.68, 1.27, but lower in Midlands/Wales (0.85 (0.64, 1.12. Event severity influenced regional variation, with South England showing lower fatal incident CVD than other regions, but higher non-fatal incident CVD. Kaplan-Meier plots suggested that regional divergence in CVD occurred before baseline (before mean baseline age of 69. Conclusions In women, regional differences in CVD early in adult life do not further diverge in later life. This may be due to regional differences in early detection, survivorship of women entering the study, or event severity. Targeting health care resources for CVD by geographic variation may not be appropriate for older age-groups.

Identifying areas of need relative to liver disease: geographic clustering within a health service district.

Science.gov (United States)

El-Atem, Nathan; Irvine, Katharine M; Valery, Patricia C; Wojcik, Kyle; Horsfall, Leigh; Johnson, Tracey; Janda, Monika; McPhail, Steven M; Powell, Elizabeth E

2017-08-01

Background Many people with chronic liver disease (CLD) are not detected until they present to hospital with advanced disease, when opportunities for intervention are reduced and morbidity is high. In order to build capacity and liver expertise in the community, it is important to focus liver healthcare resources in high-prevalence disease areas and specific populations with an identified need. The aim of the present study was to examine the geographic location of people seen in a tertiary hospital hepatology clinic, as well as ethnic and sociodemographic characteristics of these geographic areas. Methods The geographic locations of hepatology out-patients were identified via the out-patient scheduling database and grouped into statistical area (SA) regions for demographic analysis using data compiled by the Australian Bureau of Statistics. Results During the 3-month study period, 943 individuals from 71 SA Level 3 regions attended clinic. Nine SA Level 3 regions accounted for 55% of the entire patient cohort. Geographic clustering was seen especially for people living with chronic hepatitis B virus. There was a wide spectrum of socioeconomic advantage and disadvantage in areas with high liver disease prevalence. Conclusions The geographic area from which people living with CLD travel to access liver health care is extensive. However, the greatest demand for tertiary liver disease speciality care is clustered within specific geographic areas. Outreach programs targeted to these areas may enhance liver disease-specific health service resourcing. What is known about the topic? The demand for tertiary hospital clinical services in CLD is rising. However, there is limited knowledge about the geographic areas from which people living with CLD travel to access liver services, or the ethnic, socioeconomic and education characteristics of these areas. What does this paper add? The present study demonstrates that a substantial proportion of people living with CLD and

The Effect of Geographic Units of Analysis on Measuring Geographic Variation in Medical Services Utilization

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Agnus M. Kim

2016-07-01

Full Text Available Objectives: We aimed to evaluate the effect of geographic units of analysis on measuring geographic variation in medical services utilization. For this purpose, we compared geographic variations in the rates of eight major procedures in administrative units (districts and new areal units organized based on the actual health care use of the population in Korea. Methods: To compare geographic variation in geographic units of analysis, we calculated the age–sex standardized rates of eight major procedures (coronary artery bypass graft surgery, percutaneous transluminal coronary angioplasty, surgery after hip fracture, knee-replacement surgery, caesarean section, hysterectomy, computed tomography scan, and magnetic resonance imaging scan from the National Health Insurance database in Korea for the 2013 period. Using the coefficient of variation, the extremal quotient, and the systematic component of variation, we measured geographic variation for these eight procedures in districts and new areal units. Results: Compared with districts, new areal units showed a reduction in geographic variation. Extremal quotients and inter-decile ratios for the eight procedures were lower in new areal units. While the coefficient of variation was lower for most procedures in new areal units, the pattern of change of the systematic component of variation between districts and new areal units differed among procedures. Conclusions: Geographic variation in medical service utilization could vary according to the geographic unit of analysis. To determine how geographic characteristics such as population size and number of geographic units affect geographic variation, further studies are needed.

Adoption of Free Open Source Geographic Information System Solution for Health Sector in Zanzibar Tanzania

OpenAIRE

BAKAR, Abubakar D.; KIMARO, Honest C.; SULTAN, Abu Bakar MD; HAMIAR, S.

2014-01-01

The study aims at developing in-depth understanding on how Open Source Geographic Information System technology is used to provide solutions for data visualization in the health sector of Zanzibar, Tanzania. The study focuses on implementing the health visualization solutions for the purpose of bridging the gap during the transition period from proprietary software to the Free Open-Source Software using Key Indicator Data System. The developed tool facilitates data integration between the two...

Geographic variations in involuntary care and associations with the supply of health and social care: results from a nationwide study.

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Gandré, Coralie; Gervaix, Jeanne; Thillard, Julien; Macé, Jean-Marc; Roelandt, Jean-Luc; Chevreul, Karine

2018-04-06

Involuntary psychiatric care remains controversial. Geographic disparities in its use can challenge the appropriateness of the care provided when they do not result from different health needs of the population. These disparities should be reduced through dedicated health policies. However, their association with the supply of health and social care, which could be targeted by such policies, has been insufficiently studied. Our objectives were therefore to describe geographic variations in involuntary admission rates across France and to identify the characteristics of the supply of care which were associated with these variations. Involuntary admission rate per 100,000 adult inhabitants was calculated in French psychiatric sectors' catchment areas using 2012 data from the national psychiatric discharge database. Its variations were first described numerically and graphically. Several factors potentially associated with these variations were then considered in a negative binomial regression with an offset term accounting for the size of catchment areas. They included characteristics of the supply of care (public and private care, health and social care, hospital and community-based care, specialised and non-specialised care) as well as adjustment factors related to epidemiological characteristics of the population of each sector's catchment area and its level of urbanization. Such variables were extracted from complementary administrative databases. Supply characteristics associated with geographic variations were identified using a significance level of 0.05. Significant variations in involuntary admission rates were observed between psychiatric sectors' catchment areas with a coefficient of variation close to 80%. These variations were associated with some characteristics of the supply of health and social care in the sectors' catchment areas. Notably, an increase in the availability of community-based private psychiatrists and the capacity of housing

Do differences in the administrative structure of populations confound comparisons of geographic health inequalities?

LENUS (Irish Health Repository)

Jackson, Andrew L

2010-08-18

Abstract Background Geographical health inequalities are naturally described by the variation in health outcomes between areas (e.g. mortality rates). However, comparisons made between countries are hampered by our lack of understanding of the effect of the size of administrative units, and in particular the modifiable areal unit problem. Our objective was to assess how differences in geographic and administrative units used for disseminating data affect the description of health inequalities. Methods Retrospective study of standard populations and deaths aggregated by administrative regions within 20 European countries, 1990-1991. Estimated populations and deaths in males aged 0-64 were in 5 year age bands. Poisson multilevel modelling was conducted of deaths as standardised mortality ratios. The variation between regions within countries was tested for relationships with the mean region population size and the unequal distribution of populations within each country measured using Gini coefficients. Results There is evidence that countries whose regions vary more in population size show greater variation and hence greater apparent inequalities in mortality counts. The Gini coefficient, measuring inequalities in population size, ranged from 0.1 to 0.5 between countries; an increase of 0.1 was accompanied by a 12-14% increase in the standard deviation of the mortality rates between regions within a country. Conclusions Apparently differing health inequalities between two countries may be due to differences in geographical structure per se, rather than having any underlying epidemiological cause. Inequalities may be inherently greater in countries whose regions are more unequally populated.

Using Geographic Information Systems for Exposure Assessment in Environmental Epidemiology Studies

OpenAIRE

Nuckols, John R.; Ward, Mary H.; Jarup, Lars

2004-01-01

Geographic information systems (GIS) are being used with increasing frequency in environmental epidemiology studies. Reported applications include locating the study population by geocoding addresses (assigning mapping coordinates), using proximity analysis of contaminant source as a surrogate for exposure, and integrating environmental monitoring data into the analysis of the health outcomes. Although most of these studies have been ecologic in design, some have used GIS in estimating enviro...

Geographically varying effects of weather on tobacco consumption: implications for health marketing initiatives.

Science.gov (United States)

Govind, Rahul; Garg, Nitika; Sun, Wenbin

2014-01-01

Weather and its fluctuations have been found to influence the consumption of negative hedonic goods. However, such findings are of limited use to health marketers who cannot control the weather, and hence, its effects. The current research utilizes data obtained at the zip-code level to study geographical variations in the effect of weather on tobacco consumption across the entire continental United States. The results allow health marketers to identify areas that will be most responsive to marketing efforts aimed at curtailing negative hedonic consumption and thus implement more effective, region-specific initiatives.

Health status and geographic mobility among semi-nomadic pastoralists in Mongolia.

Science.gov (United States)

Mocellin, Jérome; Foggin, Peter

2008-06-01

This paper sets out to examine the impact on health of a key aspect of the semi-nomadic lifestyle, namely geographic mobility. The relevant literature suggests that seasonal migrations of pastoralists tend to increase the risk of a poor health. Highlighted in this paper is an inverse association between spatial mobility and health status among the herders of rural Mongolia. Two types of mobility are involved in this process. For households, seasonal migration has a significant influence on health. At the level of individuals, however, there is another kind of mobility: that of travelling to meet personal needs. At both of these levels, statistically significant impacts on health were observed.

Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues

OpenAIRE

Riva Mylène; Abdelmajid Mohamed; Apparicio Philippe; Shearmur Richard

2008-01-01

Abstract Background Over the past two decades, geographical accessibility of urban resources for population living in residential areas has received an increased focus in urban health studies. Operationalising and computing geographical accessibility measures depend on a set of four parameters, namely definition of residential areas, a method of aggregation, a measure of accessibility, and a type of distance. Yet, the choice of these parameters may potentially generate different results leadi...

Geographical accessibility and spatial coverage modeling of the primary health care network in the Western Province of Rwanda

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Huerta Munoz Ulises

2012-09-01

Full Text Available Abstract Background Primary health care is essential in improving and maintaining the health of populations. It has the potential to accelerate achievement of the Millennium Development Goals and fulfill the “Health for All” doctrine of the Alma-Ata Declaration. Understanding the performance of the health system from a geographic perspective is important for improved health planning and evidence-based policy development. The aims of this study were to measure geographical accessibility, model spatial coverage of the existing primary health facility network, estimate the number of primary health facilities working under capacity and the population underserved in the Western Province of Rwanda. Methods This study uses health facility, population and ancillary data for the Western Province of Rwanda. Three different travel scenarios utilized by the population to attend the nearest primary health facility were defined with a maximum travelling time of 60 minutes: Scenario 1 – walking; Scenario 2 – walking and cycling; and Scenario 3 – walking and public transportation. Considering these scenarios, a raster surface of travel time between primary health facilities and population was developed. To model spatial coverage and estimate the number of primary health facilities working under capacity, the catchment area of each facility was calculated by taking into account population coverage capacity, the population distribution, the terrain topography and the travelling modes through the different land categories. Results Scenario 2 (walking and cycling has the highest degree of geographical accessibility followed by Scenario 3 (walking and public transportation. The lowest level of accessibility can be observed in Scenario 1 (walking. The total population covered differs depending on the type of travel scenario. The existing primary health facility network covers only 26.6% of the population in Scenario 1. In Scenario 2, the use of a bicycle

Uses of population census data for monitoring geographical imbalance in the health workforce: snapshots from three developing countries

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Diallo Khassoum

2003-12-01

Full Text Available Abstract Background Imbalance in the distribution of human resources for health (HRH, eventually leading to inequities in health services delivery and population health outcomes, is an issue of social and political concern in many countries. However, the empirical evidence to support decision-making is often fragmented, and many standard data sources that can potentially produce statistics relevant to the issue remain underused, especially in developing countries. This study investigated the uses of demographic census data for monitoring geographical imbalance in the health workforce for three developing countries, as a basis for formulation of evidence-based health policy options. Methods Population-based indicators of geographical variations among HRH were extracted from census microdata samples for Kenya, Mexico and Viet Nam. Health workforce statistics were matched against international standards of occupational classification to control for cross-national comparability. Summary measures of inequality were calculated to monitor the distribution of health workers across spatial units and by occupational group. Results Strong inequalities were found in the geographical distribution of the health workforce in all three countries, with the highest densities of HRH tending to be found in the capital areas. Cross-national differences were found in the magnitude of distributional inequality according to occupational group, with health professionals most susceptible to inequitable distribution in Kenya and Viet Nam but less so in Mexico compared to their associate professional counterparts. Some discrepancies were suggested between mappings of occupational information from the raw data with the international system, especially for nursing and midwifery specializations. Conclusions The problem of geographical imbalance among HRH across countries in the developing world holds important implications at the local, national and international levels, in

Geographical variations in the prevalence of atopic sensitization in six study sites across Canada

DEFF Research Database (Denmark)

Chan-Yeung, M; Anthonisen, N R; Becklake, M R

2010-01-01

Geographical variations in atopic sensitization in Canada have not been described previously. This study used the standardized protocol of the European Community Respiratory Health Survey-1 (ECRHS-1) to investigate the distribution and predictors of atopic sensitization in six sites across Canada...

Musings on privacy issues in health research involving disaggregate geographic data about individuals.

Science.gov (United States)

Boulos, Maged N Kamel; Curtis, Andrew J; Abdelmalik, Philip

2009-07-20

This paper offers a state-of-the-art overview of the intertwined privacy, confidentiality, and security issues that are commonly encountered in health research involving disaggregate geographic data about individuals. Key definitions are provided, along with some examples of actual and potential security and confidentiality breaches and related incidents that captured mainstream media and public interest in recent months and years. The paper then goes on to present a brief survey of the research literature on location privacy/confidentiality concerns and on privacy-preserving solutions in conventional health research and beyond, touching on the emerging privacy issues associated with online consumer geoinformatics and location-based services. The 'missing ring' (in many treatments of the topic) of data security is also discussed. Personal information and privacy legislations in two countries, Canada and the UK, are covered, as well as some examples of recent research projects and events about the subject. Select highlights from a June 2009 URISA (Urban and Regional Information Systems Association) workshop entitled 'Protecting Privacy and Confidentiality of Geographic Data in Health Research' are then presented. The paper concludes by briefly charting the complexity of the domain and the many challenges associated with it, and proposing a novel, 'one stop shop' case-based reasoning framework to streamline the provision of clear and individualised guidance for the design and approval of new research projects (involving geographical identifiers about individuals), including crisp recommendations on which specific privacy-preserving solutions and approaches would be suitable in each case.

Use of geographic indicators of healthcare, environment and socioeconomic factors to characterize environmental health disparities.

Science.gov (United States)

Padilla, Cindy M; Kihal-Talantikit, Wahida; Perez, Sandra; Deguen, Severine

2016-07-22

An environmental health inequality is a major public health concern in Europe. However just few studies take into account a large set of characteristics to analyze this problematic. The aim of this study was to identify and describe how socioeconomic, health accessibility and exposure factors accumulate and interact in small areas in a French urban context, to assess environmental health inequalities related to infant and neonatal mortality. Environmental indicators on deprivation index, proximity to high-traffic roads, green space, and healthcare accessibility were created using the Geographical Information System. Cases were collected from death certificates in the city hall of each municipality in the Nice metropolitan area. Using the parental addresses, cases were geocoded to their census block of residence. A classification using a Multiple Component Analysis following by a Hierarchical Clustering allow us to characterize the census blocks in terms of level of socioeconomic, environmental and accessibility to healthcare, which are very diverse definition by nature. Relation between infant and neonatal mortality rate and the three environmental patterns which categorize the census blocks after the classification was performed using a standard Poisson regression model for count data after checking the assumption of dispersion. Based on geographic indicators, three environmental patterns were identified. We found environmental inequalities and social health inequalities in Nice metropolitan area. Moreover these inequalities are counterbalance by the close proximity of deprived census blocks to healthcare facilities related to mother and newborn. So therefore we demonstrate no environmental health inequalities related to infant and neonatal mortality. Examination of patterns of social, environmental and in relation with healthcare access is useful to identify census blocks with needs and their effects on health. Similar analyzes could be implemented and considered

Ensuring Confidentiality of Geocoded Health Data: Assessing Geographic Masking Strategies for Individual-Level Data.

Science.gov (United States)

Zandbergen, Paul A

2014-01-01

Public health datasets increasingly use geographic identifiers such as an individual's address. Geocoding these addresses often provides new insights since it becomes possible to examine spatial patterns and associations. Address information is typically considered confidential and is therefore not released or shared with others. Publishing maps with the locations of individuals, however, may also breach confidentiality since addresses and associated identities can be discovered through reverse geocoding. One commonly used technique to protect confidentiality when releasing individual-level geocoded data is geographic masking. This typically consists of applying a certain amount of random perturbation in a systematic manner to reduce the risk of reidentification. A number of geographic masking techniques have been developed as well as methods to quantity the risk of reidentification associated with a particular masking method. This paper presents a review of the current state-of-the-art in geographic masking, summarizing the various methods and their strengths and weaknesses. Despite recent progress, no universally accepted or endorsed geographic masking technique has emerged. Researchers on the other hand are publishing maps using geographic masking of confidential locations. Any researcher publishing such maps is advised to become familiar with the different masking techniques available and their associated reidentification risks.

Ensuring Confidentiality of Geocoded Health Data: Assessing Geographic Masking Strategies for Individual-Level Data

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Paul A. Zandbergen

2014-01-01

Full Text Available Public health datasets increasingly use geographic identifiers such as an individual’s address. Geocoding these addresses often provides new insights since it becomes possible to examine spatial patterns and associations. Address information is typically considered confidential and is therefore not released or shared with others. Publishing maps with the locations of individuals, however, may also breach confidentiality since addresses and associated identities can be discovered through reverse geocoding. One commonly used technique to protect confidentiality when releasing individual-level geocoded data is geographic masking. This typically consists of applying a certain amount of random perturbation in a systematic manner to reduce the risk of reidentification. A number of geographic masking techniques have been developed as well as methods to quantity the risk of reidentification associated with a particular masking method. This paper presents a review of the current state-of-the-art in geographic masking, summarizing the various methods and their strengths and weaknesses. Despite recent progress, no universally accepted or endorsed geographic masking technique has emerged. Researchers on the other hand are publishing maps using geographic masking of confidential locations. Any researcher publishing such maps is advised to become familiar with the different masking techniques available and their associated reidentification risks.

Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues

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Riva Mylène

2008-02-01

Full Text Available Abstract Background Over the past two decades, geographical accessibility of urban resources for population living in residential areas has received an increased focus in urban health studies. Operationalising and computing geographical accessibility measures depend on a set of four parameters, namely definition of residential areas, a method of aggregation, a measure of accessibility, and a type of distance. Yet, the choice of these parameters may potentially generate different results leading to significant measurement errors. The aim of this paper is to compare discrepancies in results for geographical accessibility of selected health care services for residential areas (i.e. census tracts computed using different distance types and aggregation methods. Results First, the comparison of distance types demonstrates that Cartesian distances (Euclidean and Manhattan distances are strongly correlated with more accurate network distances (shortest network and shortest network time distances across the metropolitan area (Pearson correlation greater than 0.95. However, important local variations in correlation between Cartesian and network distances were observed notably in suburban areas where Cartesian distances were less precise. Second, the choice of the aggregation method is also important: in comparison to the most accurate aggregation method (population-weighted mean of the accessibility measure for census blocks within census tracts, accessibility measures computed from census tract centroids, though not inaccurate, yield important measurement errors for 5% to 10% of census tracts. Conclusion Although errors associated to the choice of distance types and aggregation method are only important for about 10% of census tracts located mainly in suburban areas, we should not avoid using the best estimation method possible for evaluating geographical accessibility. This is especially so if these measures are to be included as a dimension of the

Neighborhood size and local geographic variation of health and social determinants

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Emch Michael

2005-06-01

Full Text Available Abstract Background Spatial filtering using a geographic information system (GIS is often used to smooth health and ecological data. Smoothing disease data can help us understand local (neighborhood geographic variation and ecological risk of diseases. Analyses that use small neighborhood sizes yield individualistic patterns and large sizes reveal the global structure of data where local variation is obscured. Therefore, choosing an optimal neighborhood size is important for understanding ecological associations with diseases. This paper uses Hartley's test of homogeneity of variance (Fmax as a methodological solution for selecting optimal neighborhood sizes. The data from a study area in Vietnam are used to test the suitability of this method. Results The Hartley's Fmax test was applied to spatial variables for two enteric diseases and two socioeconomic determinants. Various neighbourhood sizes were tested by using a two step process to implement the Fmaxtest. First the variance of each neighborhood was compared to the highest neighborhood variance (upper, Fmax1 and then they were compared with the lowest neighborhood variance (lower, Fmax2. A significant value of Fmax1 indicates that the neighborhood does not reveal the global structure of data, and in contrast, a significant value in Fmax2 implies that the neighborhood data are not individualistic. The neighborhoods that are between the lower and the upper limits are the optimal neighbourhood sizes. Conclusion The results of tests provide different neighbourhood sizes for different variables suggesting that optimal neighbourhood size is data dependent. In ecology, it is well known that observation scales may influence ecological inference. Therefore, selecting optimal neigborhood size is essential for understanding disease ecologies. The optimal neighbourhood selection method that is tested in this paper can be useful in health and ecological studies.

Musings on privacy issues in health research involving disaggregate geographic data about individuals

Directory of Open Access Journals (Sweden)

AbdelMalik Philip

2009-07-01

Full Text Available Abstract This paper offers a state-of-the-art overview of the intertwined privacy, confidentiality, and security issues that are commonly encountered in health research involving disaggregate geographic data about individuals. Key definitions are provided, along with some examples of actual and potential security and confidentiality breaches and related incidents that captured mainstream media and public interest in recent months and years. The paper then goes on to present a brief survey of the research literature on location privacy/confidentiality concerns and on privacy-preserving solutions in conventional health research and beyond, touching on the emerging privacy issues associated with online consumer geoinformatics and location-based services. The 'missing ring' (in many treatments of the topic of data security is also discussed. Personal information and privacy legislations in two countries, Canada and the UK, are covered, as well as some examples of recent research projects and events about the subject. Select highlights from a June 2009 URISA (Urban and Regional Information Systems Association workshop entitled 'Protecting Privacy and Confidentiality of Geographic Data in Health Research' are then presented. The paper concludes by briefly charting the complexity of the domain and the many challenges associated with it, and proposing a novel, 'one stop shop' case-based reasoning framework to streamline the provision of clear and individualised guidance for the design and approval of new research projects (involving geographical identifiers about individuals, including crisp recommendations on which specific privacy-preserving solutions and approaches would be suitable in each case.

Use of geographical information systems for delimiting health service areas in China

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Xuechen Xiong

2017-05-01

Full Text Available With the objective of choosing a practical and valid method to delimit health service areas of regional health service centres to build a regional basic health service network, we first drew lessons from traditional geographic methods of delimiting trade areas and then applied two methods to delimit health service areas, i.e. the proximal method and the gravity method. We verified the effectiveness of these methods by an index of similarity with the aid of real in-patient data. Calculation of the similarity indices shows that health service areas delimited by the proximal method has an 87.3% similarity to the real health service area, while the gravity method gives 88.6%. Our conclusion is that both methods are suitable for delimiting health service areas at regional health service centres, but find that the proximal method is more practicable in operational terms for delimiting health service areas in region health planning.

Sub-Ethnic and Geographic Variations in Out-of-Pocket Private Health Insurance Premiums Among Mid-Life Asians.

Science.gov (United States)

Choi, Sunha

2017-03-01

This study examined out-of-pocket premium burden of mid-life Asian Americans by comparing six sub-groups of Asians after controlling for geographic clustering at the county and state levels. The 2007-2011 National Health Interview Survey was linked to community-level data and analyzed for 4,628 Asians (ages 50-64), including 697 Asian Indians, 1,125 Chinese, 1,393 Filipinos, 434 Japanese, 524 Koreans, and 455 Vietnamese. Non-Hispanic Whites were included as a comparison group ( n = 48,135). Three-level multilevel modeling (state > county > individual) was conducted. Koreans and Vietnamese were found as vulnerable sub-groups considering their lower private health insurance rates and higher uninsured rates. Among those with private insurance, Asians, specifically Filipinos, paid significantly less than non-Hispanic Whites. Moderate but significant variations in the county- and state-level variance in out-of-pocket premiums were found, especially among mid-life Asians. This study demonstrates the importance of examining within-group heterogeneity and geographic variations in understanding premium burden among mid-life Asians.

Alternative health care consultations in Ontario, Canada: A geographic and socio-demographic analysis

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Eby Jeanette

2011-06-01

Full Text Available Abstract Background An important but understudied component of Canada's health system is alternative care. The objective of this paper is to examine the geographic and socio-demographic characteristics of alternative care consultation in Ontario, Canada's largest province. Methods Data is drawn from the Canadian Community Health Survey (CCHS Cycle 3.1, 2005 for people aged 18 or over (n = 32,598 who had a consultation with an alternative health care provider. Four groups of consultations are examined: (1 all consultations (2 massage therapy (3 acupuncture, and (4 homeopath/naturopath. Descriptive statistics, mapping and logistic regression modeling are employed to analyze the data and to compare modalities of alternative health care use. Results In 2005, more than 1.2 million adults aged 18 or over consulted an alternative health care provider, representing about 13% of the total population of Ontario. The analysis revealed a varied geographic pattern of consultations across the province. Consultations were fairly even across the urban to rural continuum and rural residents were just as likely to consult a provider as their urban counterparts. From a health perspective, people with a chronic condition, lower health status and self-perceived unmet health care needs were more likely to see an alternative health provider. Women with chronic conditions such as fibromyalgia, high blood pressure, chronic fatigue syndrome and chemical sensitivities were more likely to see an alternative provider if they felt their health care needs were not being met. Conclusions The analysis revealed that geography is not a factor in determining alternative health care consultations in Ontario. By contrast, there is a strong association between these consultations and socio-demographic characteristics particularly age, sex, education, health and self-perceived unmet health care needs. The results underscore the importance of women's health needs as related to

Hierarchical Distributed-Lag Models: Exploring Varying Geographic Scale and Magnitude in Associations Between the Built Environment and Health.

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Baek, Jonggyu; Sanchez-Vaznaugh, Emma V; Sánchez, Brisa N

2016-03-15

It is well known that associations between features of the built environment and health depend on the geographic scale used to construct environmental attributes. In the built environment literature, it has long been argued that geographic scales may vary across study locations. However, this hypothesized variation has not been systematically examined due to a lack of available statistical methods. We propose a hierarchical distributed-lag model (HDLM) for estimating the underlying overall shape of food environment-health associations as a function of distance from locations of interest. This method enables indirect assessment of relevant geographic scales and captures area-level heterogeneity in the magnitudes of associations, along with relevant distances within areas. The proposed model was used to systematically examine area-level variation in the association between availability of convenience stores around schools and children's weights. For this case study, body mass index (weight kg)/height (m)2) z scores (BMIz) for 7th grade children collected via California's 2001-2009 FitnessGram testing program were linked to a commercial database that contained locations of food outlets statewide. Findings suggested that convenience store availability may influence BMIz only in some places and at varying distances from schools. Future research should examine localized environmental or policy differences that may explain the heterogeneity in convenience store-BMIz associations. © The Author 2016. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Geographical differences in food allergy.

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Bartra, Joan; García-Moral, Alba; Enrique, Ernesto

2016-06-01

Food allergy represents a health problem worldwide and leads to life-threatening reactions and even impairs quality of life. Epidemiological data during the past decades is very heterogeneous because of the use of different diagnostic procedures, and most studies have only been performed in specific geographical areas. The aim of this article is to review the available data on the geographical distribution of food allergies at the food source and molecular level and to link food allergy patterns to the aeroallergen influence in each area. Systematic reviews, meta-analysis, studies performed within the EuroPrevall Project and EAACI position papers regarding food allergy were analysed. The prevalence of food allergy sensitization differs between geographical areas, probably as a consequence of differences among populations, their habits and the influence of the cross-reactivity of aeroallergens and other sources of allergens. Geographical differences in food allergy are clearly evident at the allergenic molecular level, which seems to be directly influenced by the aeroallergens of each region and associated with specific clinical patterns.

Model of cholera dissemination using geographic information systems and fuzzy clustering means: case study, Chabahar, Iran.

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Pezeshki, Z; Tafazzoli-Shadpour, M; Mansourian, A; Eshrati, B; Omidi, E; Nejadqoli, I

2012-10-01

Cholera is spread by drinking water or eating food that is contaminated by bacteria, and is related to climate changes. Several epidemics have occurred in Iran, the most recent of which was in 2005 with 1133 cases and 12 deaths. This study investigated the incidence of cholera over a 10-year period in Chabahar district, a region with one of the highest incidence rates of cholera in Iran. Descriptive retrospective study on data of patients with Eltor and NAG cholera reported to the Iranian Centre of Disease Control between 1997 and 2006. Data on the prevalence of cholera were gathered through a surveillance system, and a spatial database was developed using geographic information systems (GIS) to describe the relation of spatial and climate variables to cholera incidences. Fuzzy clustering (fuzzy C) method and statistical analysis based on logistic regression were used to develop a model of cholera dissemination. The variables were demographic characteristics, specifications of cholera infection, climate conditions and some geographical parameters. The incidence of cholera was found to be significantly related to higher temperature and humidity, lower precipitation, shorter distance to the eastern border of Iran and local health centres, and longer distance to the district health centre. The fuzzy C means algorithm showed that clusters were geographically distributed in distinct regions. In order to plan, manage and monitor any public health programme, GIS provide ideal platforms for the convergence of disease-specific information, analysis and computation of new data for statistical analysis. Copyright © 2012 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Inequalities in healthy life expectancy by Brazilian geographic regions: findings from the National Health Survey, 2013.

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Szwarcwald, Célia Landmann; Souza Júnior, Paulo Roberto Borges de; Marques, Aline Pinto; Almeida, Wanessa da Silva de; Montilla, Dalia Elena Romero

2016-11-17

The demographic shift and epidemiologic transition in Brazil have drawn attention to ways of measuring population health that complement studies of mortality. In this paper, we investigate regional differences in healthy life expectancy based on information from the National Health Survey (PNS), 2013. In the survey, a three-stage cluster sampling (census tracts, households and individuals) with stratification of the primary sampling units and random selection in all stages was used to select 60,202 Brazilian adults (18 years and over). Healthy life expectancies (HLE) were estimated by Sullivan's method according to sex, age and geographic region, using poor self-rated health for defining unhealthy status. Logistic regression models were used to investigate socioeconomic and regional inequalities in poor self-rated health, after controlling by sex and age. Wide disparities by geographic region were found with the worst indicators in the North and Northeast regions, whether considering educational attainment, material deprivation, or health care utilization. Life expectancy at birth for women and men living in the richest regions was 5 years longer than for those living in the less wealthy regions. Modeling the variation across regions for poor self-rated health, statistically significant effects (p < 0.001) were found for the North and Northeast when compared to the Southeast, even after controlling for age, sex, diagnosis of at least one non-communicable chronic disease, and schooling or socioeconomic class. Marked regional inequalities in HLE were found, with the loss of healthy life much higher among residents of the poorest regions, especially among the elderly. By combining data on self-rated health status and mortality in a single indicator, Healthy Life Expectancy, this study demonstrated the excess burden of poor health experienced by populations in the less wealthy regions of Brazil. To mitigate the effects of social exclusion, the development of strategies

Reporting of perinatal health indicators for international comparisons: enhancing the appearance of geographical plots

NARCIS (Netherlands)

Lack, N.; Blondel, B.; Mohangoo, A.D.; Sakkeus, L.; Cans, C.; Bouvier-Colle, M.H.; Macfarlane, A.; Zeitlin, J.

2013-01-01

Background: Tabulating annual national health indicators sorted by outcome may be misleading for two reasons. The implied rank order is largely a result of heterogeneous population sizes. Distinctions between geographically adjacent regions are not visible. Methods: Regional data are plotted in a

Place Branding – Geographical Approach. Case Study: Waterloo

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Marius-Cristian Neacşu

2016-11-01

Full Text Available This study represents an exploratory analysis of the evolution of the place branding concept, with an important focus on the geographical perspective. How has this notion, a newcomer into the geographers' analysis, changed over time and what role does it have in the decision making process of intervening into the way a certain place is organised or as an instrument of economic revival and territorial development? At least from the perspective of Romanian geographical literature, the originality and novelty of this study is obvious. An element of the originality of this research is the attempt of redefining the concept of place branding so that it is more meaningful from the perspective of spatial analyses. The reason for which Waterloo was chosen as a case study is multi-dimensional: the case studies so far have mainly focused on large cities (urban branding instead of place branding and this site has all the theoretical elements to create a stand-alone brand.

Open-Source web-based geographical information system for health exposure assessment

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Evans Barry

2012-01-01

Full Text Available Abstract This paper presents the design and development of an open source web-based Geographical Information System allowing users to visualise, customise and interact with spatial data within their web browser. The developed application shows that by using solely Open Source software it was possible to develop a customisable web based GIS application that provides functions necessary to convey health and environmental data to experts and non-experts alike without the requirement of proprietary software.

Open-Source web-based geographical information system for health exposure assessment

DEFF Research Database (Denmark)

Evans, Barry; Sabel, Clive E

2012-01-01

This paper presents the design and development of an open source web-based Geographical Information System allowing users to visualise, customise and interact with spatial data within their web browser. The developed application shows that by using solely Open Source software it was possible to d...... to develop a customisable web based GIS application that provides functions necessary to convey health and environmental data to experts and non-experts alike without the requirement of proprietary software....

Geographic Variation in Maternal Smoking during Pregnancy in the Missouri Adolescent Female Twin Study (MOAFTS)

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Lian, Min; Madden, Pamela A.; Lynskey, Michael T.; Colditz, Graham A.; Lessov-Schlaggar, Christina N.; Schootman, Mario; Heath, Andrew C.

2016-01-01

Objective Despite well-known adverse health effects of maternal smoking during pregnancy (MSP), it is still unclear if MSP varies geographically and if neighborhood socioeconomic deprivation (SED) plays an important role in MSP. This study aims to investigate small-area geographic variation in MSP and examine the association of SED with MSP. Methods The Missouri Adolescent Female Twin Study (MOAFTS) is a cohort study of female like-sex twins born in Missouri to Missouri-resident parents during 1975–1985. Biological mothers completed a baseline interview in 1995–1998 and reported MSP with the twins. Residential address of the mother at birth was geocoded. We developed a census tract-level SED index using a common factor approach based on 21 area-level socioeconomic variables from the 1980 Census data. Multilevel logistic regressions estimated geographic heterogeneity (random effect) in MSP and the odds ratios (ORs, fixed effects) of neighborhood SED associated with MSP. Results Of 1658 MOAFTS mothers, 35.2% reported any MSP and 21.9% reported MSP beyond the first trimester. Neighborhood SED was associated with any MSP (the highest vs. the lowest quartile: OR = 1.90, 95% confidence interval [CI] = 1.40–2.57, Ptrendalcohol use, and parents’ cohabitation), neighborhood SED was not associated with MSP, but geographic variation still persisted in MSP (variance = 0.41, P = 0.003) and in MSP beyond the first trimester (variance = 0.82, P<0.001). Conclusions Neighborhood SED was associated with MSP in unadjusted analyses but this association could be explained by individual socioeconomic conditions. Nonetheless, significant geographic variation in MSP persisted and was not accounted for by differences in neighborhood SED. To develop effective interventions to reduce MSP, further studies are necessary to explore underlying reasons for its geographic variation. PMID:27100091

[Use of indicators of geographical accessibility to primary health care centers in addressing inequities].

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De Pietri, Diana; Dietrich, Patricia; Mayo, Patricia; Carcagno, Alejandro; de Titto, Ernesto

2013-12-01

Characterize geographical indicators in relation to their usefulness in measuring regional inequities, identify and describe areas according to their degree of geographical accessibility to primary health care centers (PHCCs), and detect populations at risk from the perspective of access to primary care. Analysis of spatial accessibility using geographic information systems (GIS) involved three aspects: population without medical coverage, distribution of PHCCs, and the public transportation network connecting them. The development of indicators of demand (real, potential, and differential) and analysis of territorial factors affecting population mobility enabled the characterization of PHCCs with regard to their environment, thereby contributing to local and regional analysis and to the detection of different zones according to regional connectivity levels. Indicators developed in a GIS environment were very useful in analyzing accessibility to PHCCs by vulnerable populations. Zoning the region helped identify inequities by differentiating areas of unmet demand and fragmentation of spatial connectivity between PHCCs and public transportation.

Geographic Variations in Arthritis Prevalence, Health-Related Characteristics, and Management - United States, 2015.

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Barbour, Kamil E; Moss, Susan; Croft, Janet B; Helmick, Charles G; Theis, Kristina A; Brady, Teresa J; Murphy, Louise B; Hootman, Jennifer M; Greenlund, Kurt J; Lu, Hua; Wang, Yan

2018-03-16

Doctor-diagnosed arthritis is a common chronic condition affecting an estimated 23% (54 million) of adults in the United States, greatly influencing quality of life and costing approximately $300 billion annually. The geographic variations in arthritis prevalence, health-related characteristics, and management among states and territories are unknown. Therefore, public health professionals need to understand arthritis in their areas to target dissemination of evidence-based interventions that reduce arthritis morbidity. 2015. The Behavioral Risk Factor Surveillance System is an annual, random-digit-dialed landline and cellular telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. Self-reported data are collected from the 50 states, the District of Columbia, Guam, and Puerto Rico. Unadjusted and age-standardized prevalences of arthritis, arthritis health-related characteristics, and arthritis management were calculated. County-level estimates were calculated using a validated statistical modeling method. In 2015, in the 50 states and the District of Columbia, median age-standardized prevalence of arthritis was 23.0% (range: 17.2%-33.6%). Modeled prevalence of arthritis varied considerably by county (range: 11.2%-42.7%). In 13 states that administered the arthritis management module, among adults with arthritis, the age-standardized median percentage of participation in a self-management education course was 14.5% (range: 9.1%-19.0%), being told by a health care provider to engage in physical activity or exercise was 58.5% (range: 52.3%-61.9%), and being told to lose weight to manage arthritis symptoms (if overweight or obese) was 44.5% (range: 35.1%-53.2%). Respondents with arthritis who lived in the quartile of states with the highest prevalences of arthritis had the highest percentages of negative health-related characteristics (i.e., arthritis-attributable activity limitations, arthritis-attributable severe joint pain

A coregionalization model can assist specification of Geographically Weighted Poisson Regression: Application to an ecological study.

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Ribeiro, Manuel Castro; Sousa, António Jorge; Pereira, Maria João

2016-05-01

The geographical distribution of health outcomes is influenced by socio-economic and environmental factors operating on different spatial scales. Geographical variations in relationships can be revealed with semi-parametric Geographically Weighted Poisson Regression (sGWPR), a model that can combine both geographically varying and geographically constant parameters. To decide whether a parameter should vary geographically, two models are compared: one in which all parameters are allowed to vary geographically and one in which all except the parameter being evaluated are allowed to vary geographically. The model with the lower corrected Akaike Information Criterion (AICc) is selected. Delivering model selection exclusively according to the AICc might hide important details in spatial variations of associations. We propose assisting the decision by using a Linear Model of Coregionalization (LMC). Here we show how LMC can refine sGWPR on ecological associations between socio-economic and environmental variables and low birth weight outcomes in the west-north-central region of Portugal. Copyright © 2016 Elsevier Ltd. All rights reserved.

The effects of the Health Insurance Portability and Accountability Act privacy rule on influenza research using geographical information systems

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Norisse Tellman

2010-11-01

Full Text Available The Health Insurance Portability and Accountability Act (HIPAA privacy rule was enacted to protect patients’ personal health information from undue disclosure. Despite its intention to protect patients, recent reports suggest that HIPAA restrictions may be negatively impacting health research. Quantitative, visual geographical and statistical analysis of zip code geographical information systems (GIS mapping, comparing 3-digit HIPAA-compliant and 5-digit HIPAA-non-compliant simulated data, was chosen to identify and describe the type of distortion that may result. It was found that unmitigated HIPAA compliance with HIPAA mapping rules distorted the GIS zip code data by 28% leading to erroneous results. Thus, compliance with HIPAA privacy rule when mapping may lead investigators to publish erroneous GIS maps.

A geographic information system applied to a malaria field study in western Kenya.

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Hightower, A W; Ombok, M; Otieno, R; Odhiambo, R; Oloo, A J; Lal, A A; Nahlen, B L; Hawley, W A

1998-03-01

This paper describes use of the global positioning system (GPS) in differential mode (DGPS) to obtain highly accurate longitudes, latitudes, and altitudes of 1,169 houses, 15 schools, 40 churches, four health care centers, 48 major mosquito breeding sites, 10 borehole wells, seven shopping areas, major roads, streams, the shore of Lake Victoria, and other geographic features of interest associated with a longitudinal study of malaria in 15 villages in western Kenya. The area mapped encompassed approximately 70 km2 and included 42.0 km of roads, 54.3 km of streams, and 15.0 km of lake shore. Location data were entered into a geographic information system for map production and linkage with various databases for spatial analyses. Spatial analyses using parasitologic and entomologic data are presented as examples. Background information on DGPS is presented along with estimates of effort and expense to produce the map information.

International geographic correlation study of the prevalence of disorders of male reproductive health.

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Serrano, T; Chevrier, C; Multigner, L; Cordier, S; Jégou, B

2013-07-01

Is there evidence at the population level of associations between different male genital disorders, outside Scandinavian countries? At an international scale, there is evidence for a number of correlations between rates of four male reproductive disorders (hypospadias, cryptorchidism, testicular cancer and low sperm concentration). Some associations between these outcomes have been shown in studies focusing on individuals and mainly in Nordic European countries. These associations, together with histological evidence of a dysgenesis pattern in testicular tissue specimens, have generated the concept of the existence of a 'testicular dysgenesis syndrome' originating in utero. This is a geographical correlation study using cancer, malformations rates and sperm quality data collected between the years 1998 and 2005. Incidence rates of testicular cancer were extracted from International Agency for Research on Cancer registries and Globocan, while cryptorchidism and hypospadias prevalence rates were obtained from EUROCAT and International Clearinghouse for Birth Defects Surveillance and Research registries. Sperm concentration data were extracted from recent studies using standardized methodology. A total of 39 registries and 9 sperm studies were selected. Non-parametric Spearman correlation tests were used to test the association between these four disorders. Correlations were computed for all registries together, for registries with high-quality matching coverage only and by continents. Sensitivity analyses were also conducted using data from prospective clinical studies to take into account potential bias related mainly to ascertainment of malformation rates. We found positive correlations between testicular cancer and hypospadias (r = 0.32, P = 0.05) and between hypospadias and cryptorchidism (r = 0.70, P = 0.008). Stronger correlations were observed when using registries with high-quality matching coverage. Among these registries, differences between Europe and the

Geographic Analysis of Neurosurgery Workforce in Korea

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Park, Hye Ran; Park, Sukh Que; Kim, Jae Hyun; Hwang, Jae Chan; Lee, Gwang Soo; Chang, Jae-Chil

2018-01-01

Objective In respect of the health and safety of the public, universal access to health care is an issue of the greatest importance. The geographic distribution of doctors is one of the important factors contributing to access to health care. The aim of this study is to assess the imbalances in the geographic distribution of neurosurgeons across Korea. Methods Population data was obtained from the National Statistical Office. We classified geographic groups into 7 metropolitan cities, 78 non-metropolitan cities, and 77 rural areas. The number of doctors and neurosurgeons per 100000 populations in each county unit was calculated using the total number of doctors and neurosurgeons at the country level from 2009 to 2015. The density levels of neurosurgeon and doctor were calculated and depicted in maps. Results Between 2009 and 2015, the number of neurosurgeons increased from 2002 to 2557, and the ratio of neurosurgeons per 100000 populations increased from 4.02 to 4.96. The number of neurosurgeons per 100000 populations was highest in metropolitan cities and lowest in rural areas from 2009 to 2015. A comparison of the geographic distribution of neurosurgeons in 2009 and 2015 showed an increase in the regional gap. The neurosurgeon density was affected by country unit characteristics (p=0.000). Conclusion Distribution of neurosurgeons throughout Korea is uneven. Neurosurgeons are being increasingly concentrated in a limited number of metropolitan cities. This phenomenon will need to be accounted when planning for a supply of neurosurgeons, allocation of resources and manpower, and the provision of regional neurosurgical services. PMID:29354242

Geographic Analysis of Neurosurgery Workforce in Korea.

Science.gov (United States)

Park, Hye Ran; Park, Sukh Que; Kim, Jae Hyun; Hwang, Jae Chan; Lee, Gwang Soo; Chang, Jae-Chil

2018-01-01

In respect of the health and safety of the public, universal access to health care is an issue of the greatest importance. The geographic distribution of doctors is one of the important factors contributing to access to health care. The aim of this study is to assess the imbalances in the geographic distribution of neurosurgeons across Korea. Population data was obtained from the National Statistical Office. We classified geographic groups into 7 metropolitan cities, 78 non-metropolitan cities, and 77 rural areas. The number of doctors and neurosurgeons per 100000 populations in each county unit was calculated using the total number of doctors and neurosurgeons at the country level from 2009 to 2015. The density levels of neurosurgeon and doctor were calculated and depicted in maps. Between 2009 and 2015, the number of neurosurgeons increased from 2002 to 2557, and the ratio of neurosurgeons per 100000 populations increased from 4.02 to 4.96. The number of neurosurgeons per 100000 populations was highest in metropolitan cities and lowest in rural areas from 2009 to 2015. A comparison of the geographic distribution of neurosurgeons in 2009 and 2015 showed an increase in the regional gap. The neurosurgeon density was affected by country unit characteristics ( p =0.000). Distribution of neurosurgeons throughout Korea is uneven. Neurosurgeons are being increasingly concentrated in a limited number of metropolitan cities. This phenomenon will need to be accounted when planning for a supply of neurosurgeons, allocation of resources and manpower, and the provision of regional neurosurgical services.

Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India.

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Madhu Gupta

Full Text Available The implemented multiple-strategy community intervention National Rural Health Mission (NRHM between 2005 and 2012 aimed to reduce maternal and child health (MCH inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India.Data of district-level household surveys (DLHS held before (2002-04, during (2007-08, and after (2012-13 the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012.There were significant improvements in all MCH indicators (p<0.05. The geographical and socioeconomic differences between urban and rural areas, and between rich and poor were significantly (p<0.05 reduced for pregnant women who had an institutional delivery (geographical difference declining from 22% to 7.6%; socioeconomic from 48.2% to 13%, post-natal care within 2 weeks of delivery (2.8% to 1.5%; 30.3% to 7%; and for children with full vaccination (10% to 3.5%, 48.3% to 14% and who received oral rehydration solution (ORS for diarrhea (11% to -2.2%; 41% to 5%. Inequalities between male and female children were significantly (p<0.05 reversed for full immunization (5.7% to -0.6% and BCG immunization (1.9 to -0.9 points, and a significant (p<0.05 decrease was observed for oral polio vaccine (4.0% to 0% and measles vaccine (4.2% to 0.1%.The implemented multiple-strategy community intervention National Rural Health Mission (NRHM between 2005 and 2012 might have resulted in significant reductions in geographical, socioeconomic and gender

Geographic mobility advances careers: study of the Executive Leadership in Academic Medicine (ELAM) program for women.

Science.gov (United States)

McLean, Marsha R; Morahan, Page S; Dannels, Sharon A; McDade, Sharon A

2013-11-01

To explore whether geographic mobility is associated with career advancement of women in U.S. medical schools who are entering mid- to executive-level positions. Using an existing dataset of 351 participants in academic medicine who attended the Executive Leadership in Academic Medicine (ELAM) Program for Women (1996-2005) (adjusted to 345 participants in some analyses because data on initial faculty rank were missing), the authors conducted a quantitative study in 2009 to determine whether geographic mobility was associated with administrative promotion for those who relocated geographically (from employer while attending ELAM to employer at last job of record). Twenty-four percent of women (83/345) relocated geographically (movers) after attending ELAM. Moving had a positive association with career advancement (P = .001); odds for promotion were 168% higher for movers than for stayers [odds ratio Exp(β) = 2.684]. Movers attained higher administrative positions (P = .003), and more movers (60%) were promoted at the most recent job compared with stayers (40%) (P = .0001). Few movers changed city size; 70% already resided in large or urban cities where most medical schools are located. Age was not a barrier to mobility. Career advancement was not related to research reputation (National Institutes of Health grant award ranking) of participants' schools (either at time of attending ELAM or post-ELAM). Similar to findings outside academic medicine, 24% of women classified as geographic "movers" among midcareer faculty in medical schools attained career advantages. Psychosocial and socioeconomic factors underlying women's relocation decisions require additional study.

Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries.

Science.gov (United States)

Ruktanonchai, Corrine W; Ruktanonchai, Nick W; Nove, Andrea; Lopes, Sofia; Pezzulo, Carla; Bosco, Claudio; Alegana, Victor A; Burgert, Clara R; Ayiko, Rogers; Charles, Andrew Sek; Lambert, Nkurunziza; Msechu, Esther; Kathini, Esther; Matthews, Zoë; Tatem, Andrew J

2016-01-01

Geographic accessibility to health facilities represents a fundamental barrier to utilisation of maternal and newborn health (MNH) services, driving historically hidden spatial pockets of localized inequalities. Here, we examine utilisation of MNH care as an emergent property of accessibility, highlighting high-resolution spatial heterogeneity and sub-national inequalities in receiving care before, during, and after delivery throughout five East African countries. We calculated a geographic inaccessibility score to the nearest health facility at 300 x 300 m using a dataset of 9,314 facilities throughout Burundi, Kenya, Rwanda, Tanzania and Uganda. Using Demographic and Health Surveys data, we utilised hierarchical mixed effects logistic regression to examine the odds of: 1) skilled birth attendance, 2) receiving 4+ antenatal care visits at time of delivery, and 3) receiving a postnatal health check-up within 48 hours of delivery. We applied model results onto the accessibility surface to visualise the probabilities of obtaining MNH care at both high-resolution and sub-national levels after adjusting for live births in 2015. Across all outcomes, decreasing wealth and education levels were associated with lower odds of obtaining MNH care. Increasing geographic inaccessibility scores were associated with the strongest effect in lowering odds of obtaining care observed across outcomes, with the widest disparities observed among skilled birth attendance. Specifically, for each increase in the inaccessibility score to the nearest health facility, the odds of having skilled birth attendance at delivery was reduced by over 75% (0.24; CI: 0.19-0.3), while the odds of receiving antenatal care decreased by nearly 25% (0.74; CI: 0.61-0.89) and 40% for obtaining postnatal care (0.58; CI: 0.45-0.75). Overall, these results suggest decreasing accessibility to the nearest health facility significantly deterred utilisation of all maternal health care services. These results

Electronic health record case studies to advance environmental public health tracking.

Science.gov (United States)

Namulanda, Gonza; Qualters, Judith; Vaidyanathan, Ambarish; Roberts, Eric; Richardson, Max; Fraser, Alicia; McVeigh, Katharine H; Patterson, Scott

2018-03-01

Data from traditional public health surveillance systems can have some limitations, e.g., timeliness, geographic level, and amount of data accessible. Electronic health records (EHRs) could present an opportunity to supplement current sources of routinely collected surveillance data. The National Environmental Public Health Tracking Program (Tracking Program) sought to explore the use of EHRs for advancing environmental public health surveillance practices. The Tracking Program funded four state/local health departments to obtain and pilot the use of EHR data to address several issues including the challenges and technical requirements for accessing EHR data, and the core data elements required to integrate EHR data within their departments' Tracking Programs. The results of these pilot projects highlighted the potential of EHR data for public health surveillance of rare diseases that may lack comprehensive registries, and surveillance of prevalent health conditions or risk factors for health outcomes at a finer geographic level. EHRs therefore, may have potential to supplement traditional sources of public health surveillance data. Published by Elsevier Inc.

Acesso aos serviços de saúde: uma abordagem de geografia em saúde pública Access to health services: a geographical approach to public health

Directory of Open Access Journals (Sweden)

Carmen Vieira de Sousa Unglert

1987-10-01

Full Text Available O acesso da população aos serviços de saúde é um pré-requisito de fundamental importância para uma eficiente assistência à saúde. A localização geográfica dos serviços é um dos fatores que interferem nessa acessibilidade. Pretendeu-se estudar a localização dos serviços de saúde. A proposta básica foi a de apresentação de uma metodologia considerando-se as relações de variáveis geográficas, demográficas e sociais. Enfatizou-se, no processo, a participação da comunidade. Efetuou-se o estudo da adequação dessa metodologia às características da região de Santo Amaro, Município de São Paulo, Brasil. A contribuição dada pela abordagem geográfica abre ampla perspectiva quanto ao estabelecimento de novas linhas de estudo, planejamento e gestão, advindas do intercâmbio entre a Geografia Humana e a Saúde Pública, numa área que se sugere denominar Geografia em Saúde Pública.The access of the population to the health services is a requirement of basic importance for the efficiency of health assistance. The geographical localization of the services is one of the factors that interfere with this accessibility. It is intended to make a contribution to the study of the localization of health services. The basic proposal introduces a method which takes into account the relationships between geographical, demographical and social variables. Emphasis is placed on community participation in the process. The study of the adequacy of this method was undertaken under the regional characteristics of Santo Amaro, a suburb of the city of S. Paulo, Brazil. The contribution furnished by the geographical approach in this work opens up a broad perspective for the setting up of new lines of research, planning and administration resulting from the interation between human geography and public health within the common field for which it is suggested Geography of Public Health.

Pit Study, Geographic NAD83, LOSCO (1999) [pit_study_LOSCO_1998

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Louisiana Geographic Information Center — The 'Pit Study' was meant to identify the remnants of former oil extraction sites which pose the threat of creating an oil spill. These remnants include many other...

Geographical Clusters of Rape in the United States: 2000-2012

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Amin, Raid; Nabors, Nicole S.; Nelson, Arlene M.; Saqlain, Murshid; Kulldorff, Martin

2016-01-01

Background While rape is a very serious crime and public health problem, no spatial mapping has been attempted for rape on the national scale. This paper addresses the three research questions: (1) Are reported rape cases randomly distributed across the USA, after being adjusted for population density and age, or are there geographical clusters of reported rape cases? (2) Are the geographical clusters of reported rapes still present after adjusting for differences in poverty levels? (3) Are there geographical clusters where the proportion of reported rape cases that lead to an arrest is exceptionally low or exceptionally high? Methods We studied the geographical variation of reported rape events (2003-2012) and rape arrests (2000-2012) in the 48 contiguous states of the USA. The disease Surveillance software SaTScan™ with its spatial scan statistic is used to evaluate the spatial variation in rapes. The spatial scan statistic has been widely used as a geographical surveillance tool for diseases, and we used it to identify geographical areas with clusters of reported rape and clusters of arrest rates for rape. Results The spatial scan statistic was used to identify geographical areas with exceptionally high rates of reported rape. The analyses were adjusted for age, and in secondary analyses, for both age and poverty level. We also identified geographical areas with either a low or a high proportion of reported rapes leading to an arrest. Conclusions We have identified geographical areas with exceptionally high (low) rates of reported rape. The geographical problem areas identified are prime candidates for more intensive preventive counseling and criminal prosecution efforts by public health, social service, and law enforcement agencies Geographical clusters of high rates of reported rape are prime areas in need of expanded implementation of preventive measures, such as changing attitudes in our society toward rape crimes, in addition to having the criminal

Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries.

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Corrine W Ruktanonchai

Full Text Available Geographic accessibility to health facilities represents a fundamental barrier to utilisation of maternal and newborn health (MNH services, driving historically hidden spatial pockets of localized inequalities. Here, we examine utilisation of MNH care as an emergent property of accessibility, highlighting high-resolution spatial heterogeneity and sub-national inequalities in receiving care before, during, and after delivery throughout five East African countries.We calculated a geographic inaccessibility score to the nearest health facility at 300 x 300 m using a dataset of 9,314 facilities throughout Burundi, Kenya, Rwanda, Tanzania and Uganda. Using Demographic and Health Surveys data, we utilised hierarchical mixed effects logistic regression to examine the odds of: 1 skilled birth attendance, 2 receiving 4+ antenatal care visits at time of delivery, and 3 receiving a postnatal health check-up within 48 hours of delivery. We applied model results onto the accessibility surface to visualise the probabilities of obtaining MNH care at both high-resolution and sub-national levels after adjusting for live births in 2015.Across all outcomes, decreasing wealth and education levels were associated with lower odds of obtaining MNH care. Increasing geographic inaccessibility scores were associated with the strongest effect in lowering odds of obtaining care observed across outcomes, with the widest disparities observed among skilled birth attendance. Specifically, for each increase in the inaccessibility score to the nearest health facility, the odds of having skilled birth attendance at delivery was reduced by over 75% (0.24; CI: 0.19-0.3, while the odds of receiving antenatal care decreased by nearly 25% (0.74; CI: 0.61-0.89 and 40% for obtaining postnatal care (0.58; CI: 0.45-0.75.Overall, these results suggest decreasing accessibility to the nearest health facility significantly deterred utilisation of all maternal health care services. These

Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India.

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Gupta, Madhu; Angeli, Federica; Bosma, Hans; Rana, Monica; Prinja, Shankar; Kumar, Rajesh; van Schayck, Onno C P

2016-01-01

The implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India. Data of district-level household surveys (DLHS) held before (2002-04), during (2007-08), and after (2012-13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012. There were significant improvements in all MCH indicators (pInequalities between male and female children were significantly (pgender inequalities in MCH in Haryana, as causal relationships cannot be established with descriptive research.

Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India

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2016-01-01

Objective The implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India. Methods Data of district-level household surveys (DLHS) held before (2002–04), during (2007–08), and after (2012–13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012. Results There were significant improvements in all MCH indicators (pInequalities between male and female children were significantly (pgender inequalities in MCH in Haryana, as causal relationships cannot be established with descriptive research. PMID:27003589

A systematic review of the application and utility of geographical information systems for exploring disease-disease relationships in paediatric global health research: the case of anaemia and malaria.

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Aimone, Ashley Mariko; Perumal, Nandita; Cole, Donald C

2013-01-10

Malaria and anaemia are important health problems among children globally. Iron deficiency anaemia may offer protection against malaria infection and iron supplementation may increase the risk of malaria-related hospitalization and mortality. The nature and mechanism of these relationships, however, remain largely unresolved, resulting in concern and uncertainty around policies for non-selective iron supplementation in malaria endemic areas. Use of geographical information systems (GIS) to investigate this disease-disease interaction could contribute important new information for developing safe and effective anaemia and malaria interventions. To assess the current state of knowledge we conducted a systematic review of peer-reviewed and grey literature. Our primary objective was to qualitatively assess the application and utility of geographical concepts or spatial analyses in paediatric global health research. The secondary objective was to identify geographical factors that may be associated with anaemia and malaria prevalence or incidence among children 0-5 years of age living in low- and middle-income countries. Evaluation tools for assessing the quality of geographical data could not be found in the peer-reviewed or grey literature, and thus adapted versions of the STROBE (Strengthening The Reporting of Observational Studies in Epidemiology) and GRADE (Grades of Recommendation, Assessment, Development and Evaluation) methods were used to create reporting, and overall evidence quality scoring systems. Among the 20 included studies, we found that both malaria and anaemia were more prevalent in rural communities compared to urban areas. Geographical factors associated with malaria prevalence included regional transmission stability, and proximity to a mosquito breeding area. The prevalence of anaemia tended to vary inversely with greater or poorer access to community services such as piped water. Techniques for investigating geographic relationships ranged from

A systematic review of the application and utility of geographical information systems for exploring disease-disease relationships in paediatric global health research: the case of anaemia and malaria

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Aimone Ashley Mariko

2013-01-01

Full Text Available Abstract Malaria and anaemia are important health problems among children globally. Iron deficiency anaemia may offer protection against malaria infection and iron supplementation may increase the risk of malaria-related hospitalization and mortality. The nature and mechanism of these relationships, however, remain largely unresolved, resulting in concern and uncertainty around policies for non-selective iron supplementation in malaria endemic areas. Use of geographical information systems (GIS to investigate this disease-disease interaction could contribute important new information for developing safe and effective anaemia and malaria interventions. To assess the current state of knowledge we conducted a systematic review of peer-reviewed and grey literature. Our primary objective was to qualitatively assess the application and utility of geographical concepts or spatial analyses in paediatric global health research. The secondary objective was to identify geographical factors that may be associated with anaemia and malaria prevalence or incidence among children 0–5 years of age living in low- and middle-income countries. Evaluation tools for assessing the quality of geographical data could not be found in the peer-reviewed or grey literature, and thus adapted versions of the STROBE (Strengthening The Reporting of Observational Studies in Epidemiology and GRADE (Grades of Recommendation, Assessment, Development and Evaluation methods were used to create reporting, and overall evidence quality scoring systems. Among the 20 included studies, we found that both malaria and anaemia were more prevalent in rural communities compared to urban areas. Geographical factors associated with malaria prevalence included regional transmission stability, and proximity to a mosquito breeding area. The prevalence of anaemia tended to vary inversely with greater or poorer access to community services such as piped water. Techniques for investigating geographic

Using geographical information systems and cartograms as a health service quality improvement tool.

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Lovett, Derryn A; Poots, Alan J; Clements, Jake T C; Green, Stuart A; Samarasundera, Edgar; Bell, Derek

2014-07-01

Disease prevalence can be spatially analysed to provide support for service implementation and health care planning, these analyses often display geographic variation. A key challenge is to communicate these results to decision makers, with variable levels of Geographic Information Systems (GIS) knowledge, in a way that represents the data and allows for comprehension. The present research describes the combination of established GIS methods and software tools to produce a novel technique of visualising disease admissions and to help prevent misinterpretation of data and less optimal decision making. The aim of this paper is to provide a tool that supports the ability of decision makers and service teams within health care settings to develop services more efficiently and better cater to the population; this tool has the advantage of information on the position of populations, the size of populations and the severity of disease. A standard choropleth of the study region, London, is used to visualise total emergency admission values for Chronic Obstructive Pulmonary Disease and bronchiectasis using ESRI's ArcGIS software. Population estimates of the Lower Super Output Areas (LSOAs) are then used with the ScapeToad cartogram software tool, with the aim of visualising geography at uniform population density. An interpolation surface, in this case ArcGIS' spline tool, allows the creation of a smooth surface over the LSOA centroids for admission values on both standard and cartogram geographies. The final product of this research is the novel Cartogram Interpolation Surface (CartIS). The method provides a series of outputs culminating in the CartIS, applying an interpolation surface to a uniform population density. The cartogram effectively equalises the population density to remove visual bias from areas with a smaller population, while maintaining contiguous borders. CartIS decreases the number of extreme positive values not present in the underlying data as can be

Medicare Geographic Variation - Public Use File

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U.S. Department of Health & Human Services — The Medicare Geographic Variation Public Use File provides the ability to view demographic, utilization and quality indicators at the state level (including...

Geographic analysis of road accident severity index in Nigeria.

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Iyanda, Ayodeji E

2018-05-28

Before 2030, deaths from road traffic accidents (RTAs) will surpass cerebrovascular disease, tuberculosis, and HIV/AIDS. Yet, there is little knowledge on the geographic distribution of RTA severity in Nigeria. Accident Severity Index is the proportion of deaths that result from a road accident. This study analysed the geographic pattern of RTA severity based on the data retrieved from Federal Road Safety Corps (FRSC). The study predicted a two-year data from a historic road accident data using exponential smoothing technique. To determine spatial autocorrelation, global and local indicators of spatial association were implemented in a geographic information system. Results show significant clusters of high RTA severity among states in the northeast and the northwest of Nigeria. Hence, the findings are discussed from two perspectives: Road traffic law compliance and poor emergency response. Conclusion, the severity of RTA is high in the northern states of Nigeria, hence, RTA remains a public health concern.

Exploring Potential of Crowdsourced Geographic Information in Studies of Active Travel and Health: Strava Data and Cycling Behaviour

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Sun, Y.

2017-09-01

In development of sustainable transportation and green city, policymakers encourage people to commute by cycling and walking instead of motor vehicles in cities. One the one hand, cycling and walking enables decrease in air pollution emissions. On the other hand, cycling and walking offer health benefits by increasing people's physical activity. Earlier studies on investigating spatial patterns of active travel (cycling and walking) are limited by lacks of spatially fine-grained data. In recent years, with the development of information and communications technology, GPS-enabled devices are popular and portable. With smart phones or smart watches, people are able to record their cycling or walking GPS traces when they are moving. A large number of cyclists and pedestrians upload their GPS traces to sport social media to share their historical traces with other people. Those sport social media thus become a potential source for spatially fine-grained cycling and walking data. Very recently, Strava Metro offer aggregated cycling and walking data with high spatial granularity. Strava Metro aggregated a large amount of cycling and walking GPS traces of Strava users to streets or intersections across a city. Accordingly, as a kind of crowdsourced geographic information, the aggregated data is useful for investigating spatial patterns of cycling and walking activities, and thus is of high potential in understanding cycling or walking behavior at a large spatial scale. This study is a start of demonstrating usefulness of Strava Metro data for exploring cycling or walking patterns at a large scale.

EXPLORING POTENTIAL OF CROWDSOURCED GEOGRAPHIC INFORMATION IN STUDIES OF ACTIVE TRAVEL AND HEALTH: STRAVA DATA AND CYCLING BEHAVIOUR

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Y. Sun

2017-09-01

Full Text Available In development of sustainable transportation and green city, policymakers encourage people to commute by cycling and walking instead of motor vehicles in cities. One the one hand, cycling and walking enables decrease in air pollution emissions. On the other hand, cycling and walking offer health benefits by increasing people’s physical activity. Earlier studies on investigating spatial patterns of active travel (cycling and walking are limited by lacks of spatially fine-grained data. In recent years, with the development of information and communications technology, GPS-enabled devices are popular and portable. With smart phones or smart watches, people are able to record their cycling or walking GPS traces when they are moving. A large number of cyclists and pedestrians upload their GPS traces to sport social media to share their historical traces with other people. Those sport social media thus become a potential source for spatially fine-grained cycling and walking data. Very recently, Strava Metro offer aggregated cycling and walking data with high spatial granularity. Strava Metro aggregated a large amount of cycling and walking GPS traces of Strava users to streets or intersections across a city. Accordingly, as a kind of crowdsourced geographic information, the aggregated data is useful for investigating spatial patterns of cycling and walking activities, and thus is of high potential in understanding cycling or walking behavior at a large spatial scale. This study is a start of demonstrating usefulness of Strava Metro data for exploring cycling or walking patterns at a large scale.

Geographic Variation in Medicare Spending Dashboard

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U.S. Department of Health & Human Services — The Geographic Variation Dashboards present Medicare fee-for-service per-capita spending at the state and county level in an interactive format. We calculated the...

Confidentiality considerations for use of social-spatial data on the social determinants of health: Sexual and reproductive health case study.

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Haley, Danielle F; Matthews, Stephen A; Cooper, Hannah L F; Haardörfer, Regine; Adimora, Adaora A; Wingood, Gina M; Kramer, Michael R

2016-10-01

Understanding whether and how the places where people live, work, and play are associated with health behaviors and health is essential to understanding the social determinants of health. However, social-spatial data which link a person and their attributes to a geographic location (e.g., home address) create potential confidentiality risks. Despite the growing body of literature describing approaches to protect individual confidentiality when utilizing social-spatial data, peer-reviewed manuscripts displaying identifiable individual point data or quasi-identifiers (attributes associated with the individual or disease that narrow identification) in maps persist, suggesting that knowledge has not been effectively translated into public health research practices. Using sexual and reproductive health as a case study, we explore the extent to which maps appearing in recent peer-reviewed publications risk participant confidentiality. Our scoping review of sexual and reproductive health literature published and indexed in PubMed between January 1, 2013 and September 1, 2015 identified 45 manuscripts displaying participant data in maps as points or small-population geographic units, spanning 26 journals and representing studies conducted in 20 countries. Notably, 56% (13/23) of publications presenting point data on maps either did not describe approaches used to mask data or masked data inadequately. Furthermore, 18% (4/22) of publications displaying data using small-population geographic units included at least two quasi-identifiers. These findings highlight the need for heightened education for researchers, reviewers, and editorial teams. We aim to provide readers with a primer on key confidentiality considerations when utilizing linked social-spatial data for visualizing results. Given the widespread availability of place-based data and the ease of creating maps, it is critically important to raise awareness on when social-spatial data constitute protected health

αA crystallin may protect against geographic atrophy-meta-analysis of cataract vs. cataract surgery for geographic atrophy and experimental studies.

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Peng Zhou

Full Text Available BACKGROUND: Cataract and geographic atrophy (GA, also called advanced "dry" age-related macular degeneration are the two major causes of visual impairment in the developed world. The association between cataract surgery and the development of GA was controversial in previous studies. METHODS/PRINCIPAL FINDINGS: We performed a meta-analysis by pooling the current evidence in literature and found that cataract is associated with an increased risk of geographic atrophy with a summary odds ratio (OR of 3.75 (95% CI: 95% CI: 1.84-7.62. However, cataract surgery is not associated with the risk of geographic atrophy (polled OR=3.23, 95% CI: 0.63-16.47. Further experiments were performed to analyze how the αA-crystallin, the major component of the lens, influences the development of GA in a mouse model. We found that theαA-crystallin mRNA and protein expression increased after oxidative stress induced by NaIO(3 in immunohistochemistry of retinal section and western blot of posterior eyecups. Both functional and histopathological evidence confirmed that GA is more severe in αA-crystallin knockout mice compared to wild-type mice. CONCLUSIONS: Therefore, αA-crystallin may protect against geographic atrophy. This study provides a better understanding of the relationship between cataract, cataract surgery, and GA.

Geographic variation in the treatment of non-ST-segment myocardial infarction in the English National Health Service: a cohort study.

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Dondo, T B; Hall, M; Timmis, A D; Yan, A T; Batin, P D; Oliver, G; Alabas, O A; Norman, P; Deanfield, J E; Bloor, K; Hemingway, H; Gale, C P

2016-07-12

To investigate geographic variation in guideline-indicated treatments for non-ST-elevation myocardial infarction (NSTEMI) in the English National Health Service (NHS). Cohort study using registry data from the Myocardial Ischaemia National Audit Project. All Clinical Commissioning Groups (CCGs) (n=211) in the English NHS. 357 228 patients with NSTEMI between 1 January 2003 and 30 June 2013. Proportion of eligible NSTEMI who received all eligible guideline-indicated treatments (optimal care) according to the date of guideline publication. The proportion of NSTEMI who received optimal care was low (48 257/357 228; 13.5%) and varied between CCGs (median 12.8%, IQR 0.7-18.1%). The greatest geographic variation was for aldosterone antagonists (16.7%, 0.0-40.0%) and least for use of an ECG (96.7%, 92.5-98.7%). The highest rates of care were for acute aspirin (median 92.8%, IQR 88.6-97.1%), and aspirin (90.1%, 85.1-93.3%) and statins (86.4%, 82.3-91.2%) at hospital discharge. The lowest rates were for smoking cessation advice (median 11.6%, IQR 8.7-16.6%), dietary advice (32.4%, 23.9-41.7%) and the prescription of P2Y12 inhibitors (39.7%, 32.4-46.9%). After adjustment for case mix, nearly all (99.6%) of the variation was due to between-hospital differences (median 64.7%, IQR 57.4-70.0%; between-hospital variance: 1.92, 95% CI 1.51 to 2.44; interclass correlation 0.996, 95% CI 0.976 to 0.999). Across the English NHS, the optimal use of guideline-indicated treatments for NSTEMI was low. Variation in the use of specific treatments for NSTEMI was mostly explained by between-hospital differences in care. Performance-based commissioning may increase the use of NSTEMI treatments and, therefore, reduce premature cardiovascular deaths. NCT02436187. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Interactive map communication: pilot study of the visual perceptions and preferences of public health practitioners.

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Koenig, A; Samarasundera, E; Cheng, T

2011-08-01

To conduct a pilot study into the comprehension and visualisation preferences of geographic information by public health practitioners (PHPs), particularly in the context of interactive, Internet-based atlases. Structured human-computer interaction interviews. Seven academia-based PHPs were interviewed as information service users based on a structured questionnaire to assess their understanding of geographic representations of morbidity data, and identify their visualisation preferences in a geographic information systems environment. Awareness of area-based deprivation indices and the Index of Multiple Deprivation 2007 health and disability domain was near-universal. However, novice users of disease maps had difficulties in interpreting data classifications, in understanding supplementary information in the form of box plots and histograms, and in making use of links between interactive tabular and cartographic information. Choices for colour plans when viewing maps showed little agreement between users, although pre-viewing comments showed preferences for red-blue diverging schema. PHPs new to geographic information would benefit from enhanced interpretive support documentation to meet their needs when using Internet-based, interactive public health atlases, which are rarely provided at such sites. Technical, software-related support alone is insufficient. Increased interaction between PHPs and mapmakers would be beneficial to maximise the potential of the current growth in interactive, electronic atlases, and improve geographic information support for public health decision-making and informing the wider public. Copyright © 2011 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

The geographic accessibility of pharmacies in Nova Scotia.

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Law, Michael R; Heard, Deborah; Fisher, Judith; Douillard, Jay; Muzika, Greg; Sketris, Ingrid S

2013-01-01

Geographic proximity is an important component of access to primary care and the pharmaceutical services of community pharmacies. Variations in access to primary care have been found between rural and urban areas in Canadian and international jurisdictions. We studied access to community pharmacies in the province of Nova Scotia. We used information on the locations of 297 community pharmacies operating in Nova Scotia in June 2011. Population estimates at the census block level and network analysis were used to study the number of Nova Scotia residents living within 800 m (walking) and 2 km and 5 km (driving) distances of a pharmacy. We then simulated the impact of pharmacy closures on geographic access in urban and rural areas. We found that 40.3% of Nova Scotia residents lived within walking distance of a pharmacy; 62.6% and 78.8% lived within 2 km and 5 km, respectively. Differences between urban and rural areas were pronounced: 99.2% of urban residents lived within 5 km of a pharmacy compared with 53.3% of rural residents. Simulated pharmacy closures had a greater impact on geographic access to community pharmacies in rural areas than urban areas. The majority of Nova Scotia residents lived within walking or short driving distance of at least 1 community pharmacy. While overall geographic access appears to be lower than in the province of Ontario, the difference appears to be largely driven by the higher proportion of rural dwellers in Nova Scotia. Further studies should examine how geographic proximity to pharmacies influences patients' access to traditional and specialized pharmacy services, as well as health outcomes and adherence to therapy. Can Pharm J 2013;146:39-46.

Geographic access to care is not a determinant of child mortality in a rural Kenyan setting with high health facility density

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Williams Thomas N

2010-03-01

Full Text Available Abstract Background Policy-makers evaluating country progress towards the Millennium Development Goals also examine trends in health inequities. Distance to health facilities is a known determinant of health care utilization and may drive inequalities in health outcomes; we aimed to investigate its effects on childhood mortality. Methods The Epidemiological and Demographic Surveillance System in Kilifi District, Kenya, collects data on vital events and migrations in a population of 220,000 people. We used Geographic Information Systems to estimate pedestrian and vehicular travel times to hospitals and vaccine clinics and developed proportional-hazards models to evaluate the effects of travel time on mortality hazard in children less than 5 years of age, accounting for sex, ethnic group, maternal education, migrant status, rainfall and calendar time. Results In 2004-6, under-5 and under-1 mortality ratios were 65 and 46 per 1,000 live-births, respectively. Median pedestrian and vehicular travel times to hospital were 193 min (inter-quartile range: 125-267 and 49 min (32-72; analogous values for vaccine clinics were 47 (25-73 and 26 min (13-40. Infant and under-5 mortality varied two-fold across geographic locations, ranging from 34.5 to 61.9 per 1000 child-years and 8.8 to 18.1 per 1000, respectively. However, distance to health facilities was not associated with mortality. Hazard Ratios (HR were 0.99 (95% CI 0.95-1.04 per hour and 1.01 (95% CI 0.95-1.08 per half-hour of pedestrian and vehicular travel to hospital, respectively, and 1.00 (95% CI 0.99-1.04 and 0.97 (95% CI 0.92-1.05 per quarter-hour of pedestrian and vehicular travel to vaccine clinics in children Conclusions Significant spatial variations in mortality were observed across the area, but were not correlated with distance to health facilities. We conclude that given the present density of health facilities in Kenya, geographic access to curative services does not influence

From 32 ounces to zero: a medical geographic study of dispensing a cultivated batch of "plum" cannabis flowers to medical marijuana patients in Washington State.

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Aggarwal, Sunil K; Carter, Gregory T; Zumbrunnen, Craig; Morrill, Richard; Sullivan, Mark; Mayer, Jonathan D

2013-01-01

The medicinal use of cannabis is a growing phenomenon in the U.S. predicated on the success of overcoming specific spatial challenges and establishing particular human-environment relationships. This article takes a medical geographic "snapshot" of an urban site in Washington State where qualifying chronically ill and debilitated patients are delivered locally produced botanical cannabis for medical use. Using interview, survey, and observation, this medical geographic research project collected information on the social space of the particular delivery site and tracked the production cost, reach, and health value of a 32-ounce batch of strain-specific medical cannabis named "Plum" dispensed over a four-day period. A convenience sample of 37 qualifying patients delivered this batch of cannabis botanical medicine was recruited and prospectively studied with survey instruments. Results provide insight into patients' self-rated health, human-plant relationships, and travel-to-clinic distances. An overall systematic geographic understanding of the medical cannabis delivery system gives a grounded understanding of the lengths that patients and care providers go, despite multiple hurdles, to receive and deliver treatment with botanical cannabis that relieves diverse symptoms and improves health-related quality-of-life.

Chronic particulate exposure, mortality and cardiovascular outcomes in the nurses health study

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Adverse health effects of exposures to acute air pollution have been well studied. Fewer studies have examined effects of chronic exposure. Previous studies used exposure estimates for narrow time periods and were limited by the geographic distribution of pollution monitors. This...

Mobile technologies and geographic information systems to improve health care systems: a literature review.

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Nhavoto, José António; Grönlund, Ake

2014-05-08

A growing body of research has employed mobile technologies and geographic information systems (GIS) for enhancing health care and health information systems, but there is yet a lack of studies of how these two types of systems are integrated together into the information infrastructure of an organization so as to provide a basis for data analysis and decision support. Integration of data and technical systems across the organization is necessary for efficient large-scale implementation. The aim of this paper is to identify how mobile technologies and GIS applications have been used, independently as well as in combination, for improving health care. The electronic databases PubMed, BioMed Central, Wiley Online Library, Scopus, Science Direct, and Web of Science were searched to retrieve English language articles published in international academic journals after 2005. Only articles addressing the use of mobile or GIS technologies and that met a prespecified keyword strategy were selected for review. A total of 271 articles were selected, among which 220 concerned mobile technologies and 51 GIS. Most articles concern developed countries (198/271, 73.1%), and in particular the United States (81/271, 29.9%), United Kingdom (31/271, 11.4%), and Canada (14/271, 5.2%). Applications of mobile technologies can be categorized by six themes: treatment and disease management, data collection and disease surveillance, health support systems, health promotion and disease prevention, communication between patients and health care providers or among providers, and medical education. GIS applications can be categorized by four themes: disease surveillance, health support systems, health promotion and disease prevention, and communication to or between health care providers. Mobile applications typically focus on using text messaging (short message service, SMS) for communication between patients and health care providers, most prominently reminders and advice to patients. These

The role of geographical ecological studies in identifying diseases linked to UVB exposure and/or vitamin D.

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Grant, William B

2016-01-01

Using a variety of approaches, researchers have studied the health effects of solar ultraviolet (UV) radiation exposure and vitamin D. This review compares the contributions from geographical ecological studies with those of observational studies and clinical trials. Health outcomes discussed were based on the author's knowledge and include anaphylaxis/food allergy, atopic dermatitis and eczema, attention deficit hyperactivity disorder, autism, back pain, cancer, dental caries, diabetes mellitus type 1, hypertension, inflammatory bowel disease, lupus, mononucleosis, multiple sclerosis, Parkinson disease, pneumonia, rheumatoid arthritis, and sepsis. Important interactions have taken place between study types; sometimes ecological studies were the first to report an inverse correlation between solar UVB doses and health outcomes such as for cancer, leading to both observational studies and clinical trials. In other cases, ecological studies added to the knowledge base. Many ecological studies include other important risk-modifying factors, thereby minimizing the chance of reporting the wrong link. Laboratory studies of mechanisms generally support the role of vitamin D in the outcomes discussed. Indications exist that for some outcomes, UVB effects may be independent of vitamin D. This paper discusses the concept of the ecological fallacy, noting that it applies to all epidemiological studies.

Application of geographically-weighted regression analysis to assess risk factors for malaria hotspots in Keur Soce health and demographic surveillance site.

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Ndiath, Mansour M; Cisse, Badara; Ndiaye, Jean Louis; Gomis, Jules F; Bathiery, Ousmane; Dia, Anta Tal; Gaye, Oumar; Faye, Babacar

2015-11-18

In Senegal, considerable efforts have been made to reduce malaria morbidity and mortality during the last decade. This resulted in a marked decrease of malaria cases. With the decline of malaria cases, transmission has become sparse in most Senegalese health districts. This study investigated malaria hotspots in Keur Soce sites by using geographically-weighted regression. Because of the occurrence of hotspots, spatial modelling of malaria cases could have a considerable effect in disease surveillance. This study explored and analysed the spatial relationships between malaria occurrence and socio-economic and environmental factors in small communities in Keur Soce, Senegal, using 6 months passive surveillance. Geographically-weighted regression was used to explore the spatial variability of relationships between malaria incidence or persistence and the selected socio-economic, and human predictors. A model comparison of between ordinary least square and geographically-weighted regression was also explored. Vector dataset (spatial) of the study area by village levels and statistical data (non-spatial) on malaria confirmed cases, socio-economic status (bed net use), population data (size of the household) and environmental factors (temperature, rain fall) were used in this exploratory analysis. ArcMap 10.2 and Stata 11 were used to perform malaria hotspots analysis. From Jun to December, a total of 408 confirmed malaria cases were notified. The explanatory variables-household size, housing materials, sleeping rooms, sheep and distance to breeding site returned significant t values of -0.25, 2.3, 4.39, 1.25 and 2.36, respectively. The OLS global model revealed that it explained about 70 % (adjusted R(2) = 0.70) of the variation in malaria occurrence with AIC = 756.23. The geographically-weighted regression of malaria hotspots resulted in coefficient intercept ranging from 1.89 to 6.22 with a median of 3.5. Large positive values are distributed mainly in the southeast

Maternal-child overweight/obesity and undernutrition in Kenya: a geographic analysis.

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Pawloski, Lisa R; Curtin, Kevin M; Gewa, Constance; Attaway, David

2012-11-01

The purpose of the study was to examine geographic relationships of nutritional status (BMI), including underweight, overweight and obesity, among Kenyan mothers and children. Spatial relationships were examined concerning BMI of the mothers and BMI-for-age percentiles of their children. These included spatial statistical measures of the clustering of segments of the population, in addition to inspection of co-location of significant clusters. Rural and urban areas of Kenya, including the cities of Nairobi and Mombasa, and the Kisumu region. Mother-child pairs from Demographic and Health Survey data including 1541 observations in 2003 and 1592 observations in 2009. These mother-child pairs were organized into 399 locational clusters. There is extremely strong evidence that high BMI values exhibit strong spatial clustering. There were co-locations of overweight mothers and overweight children only in the Nairobi region, while both underweight mothers and children tended to cluster in rural areas. In Mombasa clusters of overweight mothers were associated with normal-weight children, while in the Kisumu region clusters of overweight children were associated with normal-weight mothers. These findings show there is geographic variability as well as some defined patterns concerning the distribution of malnutrition among mothers and children in Kenya, and suggest the need for further geographic analyses concerning the potential factors which influence nutritional status in this population. In addition, the methods used in this research may be easily applied to other Demographic and Health Survey data in order to begin to understand the geographic determinants of health in low-income countries.

Towards Geographic Information Systems (GIS) Implementation: A Case Study

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Meaney, Miriam

2006-01-01

"Despite its central role in real-world geography, the Geographic Information System (GIS) has had little uptake to date in School Geography." (Wiegand, 2001) This statement can be accurately applied to the author's current school setting and was the focus of her and her colleagues' case study, commenced in 2004 and continued into 2005.…

Build Trust Index for Volunteered Geographic Information: A Case Study of Safecast

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Xin, Y.; Cervone, G.

2017-12-01

Volunteered Geographic Information (VGI), defined as geographic information contributed voluntarily by amateurs, have grown exponentially nowadays with the aid of ubiquitous GPS-enabled telecommunication technologies. VGI projects, like Wikimapia, OpenStreetMap, Flickr and Safecast have shown remarkable success on leveraging citizen science to increase our knowledge about the geographic world. However, in spite of its growing popularity, VGI is still facing the most challenging problem of ensuring data quality. In this study, we proposed a methodology to filter outliers in Safecast measurements through cross-reference among volunteers. Based on the outliers filtered, a trust index is generated for each volunteer. The results are validated using official radiation measurements surveyed by Department of Energy. The validation shows that removing the outliers filtered by our methodology, Safecast measurements yield a better correlation with official measurements.

Leveraging community health worker system to map a mountainous rural district in low resource setting: a low-cost approach to expand use of geographic information systems for public health.

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Munyaneza, Fabien; Hirschhorn, Lisa R; Amoroso, Cheryl L; Nyirazinyoye, Laetitia; Birru, Ermyas; Mugunga, Jean Claude; Murekatete, Rachel M; Ntaganira, Joseph

2014-12-06

Geographic Information Systems (GIS) have become an important tool in monitoring and improving health services, particularly at local levels. However, GIS data are often unavailable in rural settings and village-level mapping is resource-intensive. This study describes the use of community health workers' (CHW) supervisors to map villages in a mountainous rural district of Northern Rwanda and subsequent use of these data to map village-level variability in safe water availability. We developed a low literacy and skills-focused training in the local language (Kinyarwanda) to train 86 CHW Supervisors and 25 nurses in charge of community health at the health center (HC) and health post (HP) levels to collect the geographic coordinates of the villages using Global Positioning Systems (GPS). Data were validated through meetings with key stakeholders at the sub-district and district levels and joined using ArcMap 10 Geo-processing tools. Costs were calculated using program budgets and activities' records, and compared with the estimated costs of mapping using a separate, trained GIS team. To demonstrate the usefulness of this work, we mapped drinking water sources (DWS) from data collected by CHW supervisors from the chief of the village. DWSs were categorized as safe versus unsafe using World Health Organization definitions. Following training, each CHW Supervisor spent five days collecting data on the villages in their coverage area. Over 12 months, the CHW supervisors mapped the district's 573 villages using 12 shared GPS devices. Sector maps were produced and distributed to local officials. The cost of mapping using CHW supervisors was $29,692, about two times less than the estimated cost of mapping using a trained and dedicated GIS team ($60,112). The availability of local mapping was able to rapidly identify village-level disparities in DWS, with lower access in populations living near to lakes and wetlands (p villages even in mountainous rural areas. These data

Geographic assessment of access to health care in patients with cardiovascular disease in South Africa.

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Kapwata, Thandi; Manda, Samuel

2018-03-22

Noncommunicable diseases (NCDs) including cardiovascular diseases (CVDs), diabetes, cancer and chronic lung disease are increasingly emerging as major contributors to morbidity and mortality in developing countries. For example, in South Africa, 195 people died per day between 1997 and 2004 from CVDs related causes. Access to efficient and effective health facility and care is an important contributing factor to overall population health and addressing prognosis, care and management CVD disease burden. This study aimed to spatially evaluate geographic health care access of people diagnosed with CVD to health facilities and to evaluate the density of the existing health facility network in South Africa. Data was obtained from the National Income Dynamics Study (NIDS) conducted in 4 waves (phases) between 2008 and 2014. The participants who responded as having heart problems that were diagnosed by a health practitioner were extracted for use in this study. Network analyst in ArcGIS ® was used to generate a least-cost path, which refers to the best path that one can travel. The residential locations of participants diagnosed with heart problems were put into the network analysis model as origins and the location of health facilities were destinations. District averages were used to protect the identity of studied participants. There were a total of 51, 42, 43, 43 health districts out the 52 that had recorded subjects with a heart condition in the 2008, 2010-2011, 2012 and 2014-2015 waves, respectively. The mean distance from a case household to a health facility per wave was 2, 2.3, 2.1 and 2.1 km in 2008, 2010-2011 and 2014-2015 respectively. The maximum individual distances travelled per wave were 41.4 km, 40,5 km, 44,2 km and 39.6 km for the 2008, 2010-2011, 2012 and 2014-2015 waves respectively. For district level analysis, participants with CVD residing in the districts found to be among the poorest in the country travelled the longest distances. These were

Widening Geographical Disparities in Cardiovascular Disease Mortality in the United States, 1969-2011

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Gopal K. Singh, PhD

2015-04-01

Full Text Available Objectives: This study examined trends in geographical disparities in cardiovascular-disease (CVD mortality in the United States between 1969 and 2011. Methods: National vital statistics data and the National Longitudinal Mortality Study were used to estimate regional, state, and county-level disparities in CVD mortality over time. Log-linear, weighted least squares, and Cox regression were used to analyze mortality trends and differentials. Results: During 1969-2011, CVD mortality rates declined fastest in New England and Mid-Atlantic regions and slowest in the Southeast and Southwestern regions. In 1969, the mortality rate was 9% higher in the Southeast than in New England, but the differential increased to 48% in 2011. In 2011, Southeastern states, Mississippi and Alabama, had the highest CVD mortality rates, nearly twice the rates for Minnesota and Hawaii. Controlling for individual-level covariates reduced state differentials. State- and county-level differentials in CVD mortality rates widened over time as geographical disparity in CVD mortality increased by 50% between 1969 and 2011. Area deprivation, smoking, obesity, physical inactivity, diabetes prevalence, urbanization, lack of health insurance, and lower access to primary medical care were all significant predictors of county-level CVD mortality rates and accounted for 52.7% of the county variance. Conclusions and Global Health Implications: Although CVD mortality has declined for all geographical areas in the United States, geographical disparity has widened over time as certain regions and states, particularly those in the South, have lagged behind in mortality reduction. Geographical disparities in CVD mortality reflect inequalities in socioeconomic conditions and behavioral risk factors. With the global CVD burden on the rise, monitoring geographical disparities, particularly in low- and middle-income countries, could indicate the extent to which reductions in CVD mortality are

Case control study of the geographic variability of exposure to disinfectant byproducts and risk for rectal cancer

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Rogerson Peter A

2007-05-01

Full Text Available Abstract Background Levels of byproducts that result from the disinfection of drinking water vary within a water distribution system. This prompted us to question whether the risk for rectal cancer also varies, depending upon one's long term geographic location within the system. Such a geographic distribution in rectal cancer risk would follow naturally from an association between level of byproduct and rectal cancer risk. We assess the effects of estimated geographic variability in exposure to some of the components of the trihalomethane group of disinfectant byproducts (DBPs on the odds ratios and probabilities for rectal cancer in white males in a case control study of 128 cases and 253 controls, conducted in Monroe County, Western New York State, U.S.A. The study was designed around health data initially collected at the University at Buffalo (Department of Social and Preventative Medicine as part of the Upstate New York Diet Study, and trihalomethane (THM data collected from a separate independent study of THMs conducted by Monroe County Department of Health. Case participants were chosen from hospital pathology records. The controls are disease-free white males between 35–90 years old, living in Monroe County, and chosen from control groups for studies from cancer of five other (unrelated sites. Using a combination of case control methodology and spatial analysis, the spatial patterns of THMs and individual measures of tap water consumption provide estimates of the effects of ingestion of specific amounts of some DBPs on rectal cancer risk. Trihalomethane (THM data were used to spatially interpolate levels at the taps of cases and controls, and odds ratios were estimated using logistic regression to assess the effects of estimated THM exposure dose on cancer risk, adjusting for alcohol, dietary beta carotene intake, tap water intake, and total caloric intake. Results Trihalomethane levels varied spatially within the county; although

Public and private maternal health service capacity and patient flows in Southern Tanzania: using a geographic information system to link hospital and national census data.

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Tabatabai, Patrik; Henke, Stefanie; Sušac, Katharina; Kisanga, Oberlin M E; Baumgarten, Inge; Kynast-Wolf, Gisela; Ramroth, Heribert; Marx, Michael

2014-01-01

Strategies to improve maternal health in low-income countries are increasingly embracing partnership approaches between public and private stakeholders in health. In Tanzania, such partnerships are a declared policy goal. However, implementation remains challenging as unfamiliarity between partners and insufficient recognition of private health providers prevail. This hinders cooperation and reflects the need to improve the evidence base of private sector contribution. To map and analyse the capacities of public and private hospitals to provide maternal health care in southern Tanzania and the population reached with these services. A hospital questionnaire was applied in all 16 hospitals (public n=10; private faith-based n=6) in 12 districts of southern Tanzania. Areas of inquiry included selected maternal health service indicators (human resources, maternity/delivery beds), provider-fees for obstetric services and patient turnover (antenatal care, births). Spatial information was linked to the 2002 Population Census dataset and a geographic information system to map patient flows and socio-geographic characteristics of service recipients. The contribution of faith-based organizations (FBOs) to hospital maternal health services is substantial. FBO hospitals are primarily located in rural areas and their patient composition places a higher emphasis on rural populations. Also, maternal health service capacity was more favourable in FBO hospitals. We approximated that 19.9% of deliveries in the study area were performed in hospitals and that the proportion of c-sections was 2.7%. Mapping of patient flows demonstrated that women often travelled far to seek hospital care and where catchment areas of public and FBO hospitals overlap. We conclude that the important contribution of FBOs to maternal health services and capacity as well as their emphasis on serving rural populations makes them promising partners in health programming. Inclusive partnerships could increase

Geographic Access to Cancer Care and Mortality Among Adolescents.

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Tai, Eric; Hallisey, Elaine; Peipins, Lucy A; Flanagan, Barry; Lunsford, Natasha Buchanan; Wilt, Grete; Graham, Shannon

2018-02-01

Adolescents with cancer have had less improvement in survival than other populations in the United States. This may be due, in part, to adolescents not receiving treatment at Children's Oncology Group (COG) institutions, which have been shown to increase survival for some cancers. The objective of this ecologic study was to examine geographic distance to COG institutions and adolescent cancer mortality. We calculated cancer mortality among adolescents and sociodemographic and healthcare access factors in four geographic zones at selected distances surrounding COG facilities: Zone A (area within 10 miles of any COG institution), Zones B and C (concentric rings with distances from a COG institution of >10-25 miles and >25-50 miles, respectively), and Zone D (area outside of 50 miles). The adolescent cancer death rate was highest in Zone A at 3.21 deaths/100,000, followed by Zone B at 3.05 deaths/100,000, Zone C at 2.94 deaths/100,000, and Zone D at 2.88 deaths/100,000. The United States-wide death rate for whites without Hispanic ethnicity, blacks without Hispanic ethnicity, and persons with Hispanic ethnicity was 2.96 deaths/100,000, 3.10 deaths/100,000, and 3.26 deaths/100,000, respectively. Zone A had high levels of poverty (15%), no health insurance coverage (16%), and no vehicle access (16%). Geographic access to COG institutions, as measured by distance alone, played no evident role in death rate differences across zones. Among adolescents, socioeconomic factors, such as poverty and health insurance coverage, may have a greater impact on cancer mortality than geographic distance to COG institution.

Geographic Variation in Household and Catastrophic Health Spending in India: Assessing the Relative Importance of Villages, Districts, and States, 2011-2012.

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Mohanty, Sanjay K; Kim, Rockli; Khan, Pijush Kanti; Subramanian, S V

2018-03-01

Policy Points: Per-capita household health spending was higher in economically developed states and was associated with ability to pay, but catastrophic health spending (CHS) was equally high in both poorer and more developed states in India. Based on multilevel modeling, we found that the largest geographic variation in health spending and CHS was at the state and village levels, reflecting wide inequality in the accessibility to and cost of health care at these levels. Contextual factors at macro and micro political units are important to reduce health spending and CHS in India. In India, health care is a local good, and households are the major source of financing it. Earlier studies have examined diverse determinants of health care spending, but no attempt has been made to understand the geographical variation in household and catastrophic health spending. We used multilevel modeling to assess the relative importance of villages, districts, and states to health spending in India. We used data on the health expenditures of 101,576 households collected in the consumption expenditure schedule (68th round) carried out by the National Sample Survey in 2011-2012. We examined 4 dependent variables: per-capita health spending (PHS), per-capita institutional health spending (PIHS), per-capita noninstitutional health spending (PNHS), and catastrophic health spending (CHS). CHS was defined as household health spending exceeding 40% of its capacity to pay. We used multilevel linear regression and logistic models to decompose the variation in each outcome by state, region, district, village, and household levels. The average PHS was 1,331 Indian rupees (INR), which varied by state-level economic development. About one-fourth of Indian households incurred CHS, which was equally high in both the economically developed and poorer states. After controlling for household level factors, 77.1% of the total variation in PHS was attributable to households, 10.1% to states, 9.5% to

[Geographic distribution of avoidable mortality in the community of Valencia (1975-1990)].

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Ros, X A; Bayo Vila, A; Alfonso Sánchez, J L; Cortina Greus, P; Chana González, P; Sáiz Sánchez, C

1996-04-20

Avoidable mortality (AM) has been proposed as the indicator of the quality and the efficacy of health care services and a parameter useful to distribute health care resources. The aim of this study was to analyze the size and geographic variability of AM in the Community of Valencia, Spain (1975-1990). The causes of AM were analyzed by the classification of Holland divided into indicators of medical care (IMC) and indicators on national health care policy (INHCP) in addition to the causes of the Charlton classification. Standard rates for Spain and the European Community, the rate of masculinity and contribution to total mortality were calculated. Geographic distribution by areas and provinces was analyzed by the rate of standardized mortality. According to the Holland classification AM was 30% of the deaths from 5 to 64 years of age. Out of these cases, 18.5% corresponded to INHCP and 11.1% to IMC. According to the Charlton classification, this percentage was 3.6%. A considerable variation was observed among the 20 areas analyzed due to many causes. The geographic distribution by groups (IMC, INHCP and the Charlton classification) is quite homogeneous. The worse results corresponded to the city of Valencia and to the area 21 (area of the city of Alicante). A great variation was found in the results regarding geographic distribution for individual causes of death while the distribution was quite homogeneous for all of the groups of mortality with the worst results being observed in large urban centers.

Modeling the geographical studies with GeoGebra-software

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Ionica Soare

2010-01-01

Full Text Available The problem of mathematical modeling in geography is one of the most important strategies in order to establish the evolution and the prevision of geographical phenomena. Models must have a simplified structure, to reflect essential components and must be selective, structured, and suggestive and approximate the reality. Models could be static or dynamic, developed in a theoretical, symbolic, conceptual or mental way, mathematically modeled. The present paper is focused on the virtual model which uses GeoGebra software, free and available at www.geogebra.org, in order to establish new methods of geographical analysis in a dynamic, didactic way.

Using geographic information systems (GIS) to identify communities in need of health insurance outreach: An OCHIN practice-based research network (PBRN) report.

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Angier, Heather; Likumahuwa, Sonja; Finnegan, Sean; Vakarcs, Trisha; Nelson, Christine; Bazemore, Andrew; Carrozza, Mark; DeVoe, Jennifer E

2014-01-01

Our practice-based research network (PBRN) is conducting an outreach intervention to increase health insurance coverage for patients seen in the network. To assist with outreach site selection, we sought an understandable way to use electronic health record (EHR) data to locate uninsured patients. Health insurance information was displayed within a web-based mapping platform to demonstrate the feasibility of using geographic information systems (GIS) to visualize EHR data. This study used EHR data from 52 clinics in the OCHIN PBRN. We included cross-sectional coverage data for patients aged 0 to 64 years with at least 1 visit to a study clinic during 2011 (n = 228,284). Our PBRN was successful in using GIS to identify intervention sites. Through use of the maps, we found geographic variation in insurance rates of patients seeking care in OCHIN PBRN clinics. Insurance rates also varied by age: The percentage of adults without insurance ranged from 13.2% to 86.8%; rates of children lacking insurance ranged from 1.1% to 71.7%. GIS also showed some areas of households with median incomes that had low insurance rates. EHR data can be imported into a web-based GIS mapping tool to visualize patient information. Using EHR data, we were able to observe smaller areas than could be seen using only publicly available data. Using this information, we identified appropriate OCHIN PBRN clinics for dissemination of an EHR-based insurance outreach intervention. GIS could also be used by clinics to visualize other patient-level characteristics to target clinic outreach efforts or interventions. © Copyright 2014 by the American Board of Family Medicine.

Geographical Accessibility to Obstetric and Neonatal Care and its Effect on Early Neonatal Mortality in Colombia, 2012-2014

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Diego Fernando Rojas Gualdrón

2017-04-01

Full Text Available Introduction: The distribution of health resources influences early neonatal mortality, granting access to obstetric care which is a major public health problem. However, the geographical dimension of this influence has not been studied in Colombia. Objective: To describe the geographical accessibility to obstetric and neonatal care beds and its association with early neonatal mortality in Colombia and its municipalities. Method:An ecological study at municipal level was carried out. Ordinary least squares (OLS regression and a geographically weighted regression (GWR were used to explore statistical and spatial associations. Results: The municipalities in Colombia with Higher mortality tend to have lower geographical accessibility to obstetric and neonatal beds after controlling the fertility and economic characteristics of these municipalities. This association is significant only in municipalities of the west coast. The strength of this association decreases in inner municipalities. Discussion: The centralization of obstetric and neonatal beds in major municipalities around the central region leaves municipalities with high risk of mortality underserved. The decentralization of obstetric and neonatal healthcare resources is a mandatory issue in order to reduce geographical disparities in mortality and to improve neonatal survival, and a healthy beginning of life.

Inuit Health in Transition: the Nuka study

DEFF Research Database (Denmark)

Bjerregaard, Peter

biological samples. The studies in Nunavik and Greenland are not identical but share protocols on diabetes, heart disease, diet, smoking, social capital, self rated health, gambling and many other topics. The study is being geographically expanded to cover also Nunavut, Labrador and East Greenland......, and comparable studies have yielded data from Alaska Natives and Norwegian Sami. A number of researchers will present results from the study at this meeting and we shall hear a lot about the link between diet and health. I will take one step back and look at the social determinants of dietary patterns...... in Greenland in a life course perspective. First different ways to determine dietary patterns will be examined; then the association of parents' background, childhood conditions, education, place of residence, job and wealth with diet will be analysed. Finally, the association of diet with other determinants...

Study of geographical trends of polycyclic aromatic hydrocarbons using pine needles

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Amigo, José Manuel; Ratola, Nuno; Alves, Arminda

2011-10-01

In this work, pine needles were used as polycyclic aromatic hydrocarbons (PAHs) markers to study the PAHs distribution over several geographical locations in Portugal and over time. Four pine needle sampling campaigns (winter, spring, summer and autumn 2007) were carried out in 29 sites, covering the major urban centres, some industrial points, smaller cities, rural areas and remote locations. Needles from Pinus pinaster Ait. and Pinus pinea L. trees were collected from 2005 and 2006 shoots, corresponding to one up to three years of exposure. Spatial trends of the incidence of PAHs indicate an increase from the remote to the urban and industrial sites. The mean values for the sum of 16 PAHs ranged from 96 ± 30 ng g -1 (dry weight) for remote sites to 866 ± 304 ng g -1 (dw) for industrial sites for P. pinaster needles and from 188 ± 117 ng g -1 (dw) for rural sites to 337 ± 153 ng g -1 (dw) for urban sites for P. pinea. Geographic information system tools and principal component analysis revealed that the contamination patterns of PAHs are somehow related to several socio-geographic parameters of the sampling sites. The geographical trend for the PAHs is similar between seasons in terms of PAH levels, but some diverse behaviour is found on the separation of lighter and heavier PAHs. Differences between P. pinaster and P. pinea needles are stronger in terms of PAH uptake loads than in the site type fingerprints.

Applying spatial analysis tools in public health: an example using SaTScan to detect geographic targets for colorectal cancer screening interventions.

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Sherman, Recinda L; Henry, Kevin A; Tannenbaum, Stacey L; Feaster, Daniel J; Kobetz, Erin; Lee, David J

2014-03-20

Epidemiologists are gradually incorporating spatial analysis into health-related research as geocoded cases of disease become widely available and health-focused geospatial computer applications are developed. One health-focused application of spatial analysis is cluster detection. Using cluster detection to identify geographic areas with high-risk populations and then screening those populations for disease can improve cancer control. SaTScan is a free cluster-detection software application used by epidemiologists around the world to describe spatial clusters of infectious and chronic disease, as well as disease vectors and risk factors. The objectives of this article are to describe how spatial analysis can be used in cancer control to detect geographic areas in need of colorectal cancer screening intervention, identify issues commonly encountered by SaTScan users, detail how to select the appropriate methods for using SaTScan, and explain how method selection can affect results. As an example, we used various methods to detect areas in Florida where the population is at high risk for late-stage diagnosis of colorectal cancer. We found that much of our analysis was underpowered and that no single method detected all clusters of statistical or public health significance. However, all methods detected 1 area as high risk; this area is potentially a priority area for a screening intervention. Cluster detection can be incorporated into routine public health operations, but the challenge is to identify areas in which the burden of disease can be alleviated through public health intervention. Reliance on SaTScan's default settings does not always produce pertinent results.

A framework for investigating geographical variation in diseases, based on a study of Legionnaires' disease.

Science.gov (United States)

Bhopal, R S

1991-11-01

Demonstration of geographical variations in disease can yield powerful insight into the disease pathway, particularly for environmentally acquired conditions, but only if the many problems of data interpretation can be solved. This paper presents the framework, methods and principles guiding a study of the geographical epidemiology of Legionnaires' Disease in Scotland. A case-list was constructed and disease incidence rates were calculated by geographical area; these showed variation. Five categories of explanation for the variation were identified: short-term fluctuations of incidence in time masquerading as differences by place; artefact; and differences in host-susceptibility, agent virulence, or environment. The methods used to study these explanations, excepting agent virulence, are described, with an emphasis on the use of previously existing data to test hypotheses. Examples include the use of mortality, census and hospital morbidity data to assess the artefact and host-susceptibility explanations; and the use of ratios of serology tests to disease to examine the differential testing hypothesis. The reasoning and process by which the environmental focus of the study was narrowed and the technique for relating the geographical pattern of disease to the putative source are outlined. This framework allows the researcher to plan for the parallel collection of the data necessary both to demonstrate geographical variation and to point to the likely explanation.

Change in Geographical Proximity: A Qualitative Study of the Experience of Parting

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Urvashi Dixit

2017-08-01

Full Text Available The purpose of the present study is to examine the psychological impact on individuals that results from a change in geographic proximity of a close friend, romantic partner and a sibling. The topic was chosen in light of personal experiences, that is, deep affiliation with friends, and the subsequent experience of parting. A total of 6 participants (1 male and 1 female in each of the three categories, aged between 19 to 26 years were selected purposively. Out of these, 2 had experienced change in geographic proximity from a friend and 2 from a romantic partner and 2 from a sibling. The study provides an insight into the experiences of those who deal with the process of a romantic partner, friend or sibling moving away. The participants identified had experienced change in geographic proximity of friend, romantic partner or sibling within a period of 1 to 8 months. The various aspects explored were communication, well-being, loneliness, transition in feelings, coping with stress, significant experiences, etc. The data were collected using a semi structured interview, and was transcribed and analysed through thematic analysis.

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

Science.gov (United States)

Gabrysch, Sabine; Cousens, Simon; Cox, Jonathan; Campbell, Oona M R

2011-01-25

Maternal and perinatal mortality could be reduced if all women delivered in settings where skilled attendants could provide emergency obstetric care (EmOC) if complications arise. Research on determinants of skilled attendance at delivery has focussed on household and individual factors, neglecting the influence of the health service environment, in part due to a lack of suitable data. The aim of this study was to quantify the effects of distance to care and level of care on women's use of health facilities for delivery in rural Zambia, and to compare their population impact to that of other important determinants. Using a geographic information system (GIS), we linked national household data from the Zambian Demographic and Health Survey 2007 with national facility data from the Zambian Health Facility Census 2005 and calculated straight-line distances. Health facilities were classified by whether they provided comprehensive EmOC (CEmOC), basic EmOC (BEmOC), or limited or substandard services. Multivariable multilevel logistic regression analyses were performed to investigate the influence of distance to care and level of care on place of delivery (facility or home) for 3,682 rural births, controlling for a wide range of confounders. Only a third of rural Zambian births occurred at a health facility, and half of all births were to mothers living more than 25 km from a facility of BEmOC standard or better. As distance to the closest health facility doubled, the odds of facility delivery decreased by 29% (95% CI, 14%-40%). Independently, each step increase in level of care led to 26% higher odds of facility delivery (95% CI, 7%-48%). The population impact of poor geographic access to EmOC was at least of similar magnitude as that of low maternal education, household poverty, or lack of female autonomy. Lack of geographic access to emergency obstetric care is a key factor explaining why most rural deliveries in Zambia still occur at home without skilled care

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

Directory of Open Access Journals (Sweden)

Sabine Gabrysch

Full Text Available BACKGROUND: Maternal and perinatal mortality could be reduced if all women delivered in settings where skilled attendants could provide emergency obstetric care (EmOC if complications arise. Research on determinants of skilled attendance at delivery has focussed on household and individual factors, neglecting the influence of the health service environment, in part due to a lack of suitable data. The aim of this study was to quantify the effects of distance to care and level of care on women's use of health facilities for delivery in rural Zambia, and to compare their population impact to that of other important determinants. METHODS AND FINDINGS: Using a geographic information system (GIS, we linked national household data from the Zambian Demographic and Health Survey 2007 with national facility data from the Zambian Health Facility Census 2005 and calculated straight-line distances. Health facilities were classified by whether they provided comprehensive EmOC (CEmOC, basic EmOC (BEmOC, or limited or substandard services. Multivariable multilevel logistic regression analyses were performed to investigate the influence of distance to care and level of care on place of delivery (facility or home for 3,682 rural births, controlling for a wide range of confounders. Only a third of rural Zambian births occurred at a health facility, and half of all births were to mothers living more than 25 km from a facility of BEmOC standard or better. As distance to the closest health facility doubled, the odds of facility delivery decreased by 29% (95% CI, 14%-40%. Independently, each step increase in level of care led to 26% higher odds of facility delivery (95% CI, 7%-48%. The population impact of poor geographic access to EmOC was at least of similar magnitude as that of low maternal education, household poverty, or lack of female autonomy. CONCLUSIONS: Lack of geographic access to emergency obstetric care is a key factor explaining why most rural deliveries

The Geography of Mental Health and General Wellness in Galveston Bay After Hurricane Ike: A Spatial Epidemiologic Study With Longitudinal Data.

Science.gov (United States)

Gruebner, Oliver; Lowe, Sarah R; Tracy, Melissa; Cerdá, Magdalena; Joshi, Spruha; Norris, Fran H; Galea, Sandro

2016-04-01

To demonstrate a spatial epidemiologic approach that could be used in the aftermath of disasters to (1) detect spatial clusters and (2) explore geographic heterogeneity in predictors for mental health and general wellness. We used a cohort study of Hurricane Ike survivors (n=508) to assess the spatial distribution of postdisaster mental health wellness (most likely resilience trajectory for posttraumatic stress symptoms [PTSS] and depression) and general wellness (most likely resilience trajectory for PTSS, depression, functional impairment, and days of poor health) in Galveston, Texas. We applied the spatial scan statistic (SaTScan) and geographically weighted regression. We found spatial clusters of high likelihood wellness in areas north of Texas City and spatial concentrations of low likelihood wellness in Galveston Island. Geographic variation was found in predictors of wellness, showing increasing associations with both forms of wellness the closer respondents were located to Galveston City in Galveston Island. Predictors for postdisaster wellness may manifest differently across geographic space with concentrations of lower likelihood wellness and increased associations with predictors in areas of higher exposure. Our approach could be used to inform geographically targeted interventions to promote mental health and general wellness in disaster-affected communities.

Geographic variation and socio-demographic determinants of the co-occurrence of risky health behaviours in 27 European Union member states.

Science.gov (United States)

Filippidis, F T; Agaku, I T; Vardavas, C I

2016-06-01

Risky health behaviours such as tobacco and alcohol abuse, physical inactivity and poor diet may play an important role in disease development. The aim of the present study was to assess the geographical distribution and socio-demographic determinants of risky health-related behaviours in 27 member states (MSs) of the European Union (EU). Data from the 2009 Eurobarometer survey (wave 72.3; n = 26 788) were analysed. Tobacco use, alcohol consumption, physical activity and fruit consumption were assessed through a self-reported questionnaire provided to participants from 27 EU MSs. Within the analyses, participants with three or more lifestyle risk factors were classified as individuals with co-occurrence of risk factors. Among respondents aged 15 or older, 28.2% had none of the aforementioned behavioural risk factors, whereas 9.9% had three or more lifestyle risk factors. Males [adjusted odds ratio (aOR) = 2.50; 95% confidence interval (95% CI): 2.17-2.88] and respondents of middle (aOR = 1.60; 95% CI: 1.36-1.89) or lower income (aOR = 2.63; 95% CI: 2.12-3.26) were more likely to report co-occurrence of behavioural risk factors, as well as respondents in Northern (aOR = 1.43; 95% CI: 1.14-1.78), Western (aOR = 1.28; 95% CI: 1.06-1.56) and Eastern Europe (aOR = 1.28; 95% CI: 1.06-1.55), when compared with Southern European respondents. The above analyses indicate significant geographical and social variation in the distribution of the co-occurrence of behavioural risk factors for disease development. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Geographic Skills: A Case Study of Students in the United Arab Emirates

Science.gov (United States)

Alhosani, Naeema Mohamed Dawood; Yagoub, M. M.

2015-01-01

The worldwide technology boom has created an information revolution. Consequently, a large number of people who previously had limited access to geographic data can now use Internet-based geographic information for a number of diverse purposes. The average person has access to geographic information for tourism, shopping, business, and even route…

Linguistic, geographic and genetic isolation: a collaborative study of Italian populations.

Science.gov (United States)

Capocasa, Marco; Anagnostou, Paolo; Bachis, Valeria; Battaggia, Cinzia; Bertoncini, Stefania; Biondi, Gianfranco; Boattini, Alessio; Boschi, Ilaria; Brisighelli, Francesca; Caló, Carla Maria; Carta, Marilisa; Coia, Valentina; Corrias, Laura; Crivellaro, Federica; De Fanti, Sara; Dominici, Valentina; Ferri, Gianmarco; Francalacci, Paolo; Franceschi, Zelda Alice; Luiselli, Donata; Morelli, Laura; Paoli, Giorgio; Rickards, Olga; Robledo, Renato; Sanna, Daria; Sanna, Emanuele; Sarno, Stefania; Sineo, Luca; Taglioli, Luca; Tagarelli, Giuseppe; Tofanelli, Sergio; Vona, Giuseppe; Pettener, Davide; Destro Bisol, Giovanni

2014-01-01

The animal and plant biodiversity of the Italian territory is known to be one of the richest in the Mediterranean basin and Europe as a whole, but does the genetic diversity of extant human populations show a comparable pattern? According to a number of studies, the genetic structure of Italian populations retains the signatures of complex peopling processes which took place from the Paleolithic to modern era. Although the observed patterns highlight a remarkable degree of genetic heterogeneity, they do not, however, take into account an important source of variation. In fact, Italy is home to numerous ethnolinguistic minorities which have yet to be studied systematically. Due to their difference in geographical origin and demographic history, such groups not only signal the cultural and social diversity of our country, but they are also potential contributors to its bio-anthropological heterogeneity. To fill this gap, research groups from four Italian Universities (Bologna, Cagliari, Pisa and Roma Sapienza) started a collaborative study in 2007, which was funded by the Italian Ministry of Education, University and Research and received partial support by the Istituto Italiano di Antropologia. In this paper, we present an account of the results obtained in the course of this initiative. Four case-studies relative to linguistic minorities from the Eastern Alps, Sardinia, Apennines and Southern Italy are first described and discussed, focusing on their micro-evolutionary and anthropological implications. Thereafter, we present the results of a systematic analysis of the relations between linguistic, geographic and genetic isolation. Integrating the data obtained in the course of the long-term study with literature and unpublished results on Italian populations, we show that a combination of linguistic and geographic factors is probably responsible for the presence of the most robust signatures of genetic isolation. Finally, we evaluate the magnitude of the diversity

Identifying Geographic Areas at Risk of Soil-transmitted Helminthes Infection Using Remote Sensing and Geographical Information Systems: Boaco, Nicaragua as a Case Study

Science.gov (United States)

Moreno, Max J.; Al-Hamdan, Mohammad Z.; Parajon, David G.; Rickman, Douglas L.; Luvall, Jeffrey; Estes, Sue; Podest, Erika

2011-01-01

Several types of intestinal nematodes, that can infect humans and specially school-age children living in poverty, develop part of their life cycle in soil. Presence and survival of these parasites in the soil depend on given environmental characteristics like temperature and moisture that can be inferred with remote sensing (RS) technology. Prevalence of diseases caused by these parasitic worms can be controlled and even eradicated with anthelmintic drug treatments and sanitation improvement. Reliable and updated identification of geographic areas at risk is required to implement effective public health programs; to calculate amount of drug required and to distribute funding for sanitation projects. RS technology and geographical information systems (GIS) will be used to analyze for associations between in situ prevalence and remotely sensed data in order to establish RS proxies of environmental parameters that indicate the presence of these parasits. In situ data on helminthisasis will be overlaid over an ecological map derived from RS data using ARC Map 9.3 (ESRI). Temperature, vegetation, and distance to bodies of water will be inferred using data from Moderate-Resolution Imaging Spectroradiometer (MODIS) and Landsat TM and ETM+. Elevation will be estimated with data from The Shuttle Radar Topography Mission (SRTM). Prevalence and intensity of infections are determined by parasitological survey (Kato Katz) of children enrolled in rural schools in Boaco, Nicaragua, in the communities of El Roblar, Cumaica Norte, Malacatoya 1, and Malacatoya 2). This study will demonstrate the importance of an integrated GIS/RS approach to define clusters and areas at risk. Such information will help to the implementation of time and cost efficient control programs and sanitation efforts.

Geographic Names

Data.gov (United States)

Minnesota Department of Natural Resources — The Geographic Names Information System (GNIS), developed by the United States Geological Survey in cooperation with the U.S. Board of Geographic Names, provides...

Investigating Research Gaps of Pharmaceutical take back Events: An Analysis of take back Program Participants' Socioeconomic, Demographic, and Geographic Characteristics and the Public Health Benefits of take back Programs

Science.gov (United States)

Stoddard, K. I.; Hodge, V.; Maxey, G.; Tiwari, C.; Cready, C.; Huggett, D. B.

2017-06-01

Research continues to show that pharmaceutical environmental contamination causes adverse effects to aquatic life. There are also public health risks associated with pharmaceuticals because in-home reserves of medications provide opportunities for accidental poisoning and intentional medication abuse. Pharmaceutical take back programs have been seen as a potential remedy for these issues; however, a thorough review of past programs indicates limited research has been conducted on take back programs. Furthermore, there are significant gaps in take back program research. To address these gaps and ultimately determine if take back programs could improve public health, research was conducted in conjunction with the take back program Denton drug disposal days held in Denton, Texas. Socioeconomic, demographic, and geographic characteristics of Denton drug disposal days participants were investigated using surveys and Geographic Information Systems. Potential impacts of the Denton drug disposal days program on public health were determined by comparing data from Denton drug disposal days events with data supplied by the North Texas Poison Center. Results suggest that Denton drug disposal days events may have prevented accidental poisonings or intentional abuse, however only qualitative comparisons support this statement and there was insufficient empirical evidence to support the conclusion that Denton drug disposal days events were exclusively responsible for public health improvements. An interesting finding was that there was a definitive travel threshold that influenced participation in Denton drug disposal days events. Overall, this study fills some geographic, socioeconomic, and demographic data gaps of take back programs and proposes methods to analyze and improve participation in future take back programs. These methods could also be applied to improve participation in other local environmentally-focused programs such as household hazardous collection events.

Investigating Research Gaps of Pharmaceutical take back Events: An Analysis of take back Program Participants' Socioeconomic, Demographic, and Geographic Characteristics and the Public Health Benefits of take back Programs.

Science.gov (United States)

Stoddard, K I; Hodge, V; Maxey, G; Tiwari, C; Cready, C; Huggett, D B

2017-06-01

Research continues to show that pharmaceutical environmental contamination causes adverse effects to aquatic life. There are also public health risks associated with pharmaceuticals because in-home reserves of medications provide opportunities for accidental poisoning and intentional medication abuse. Pharmaceutical take back programs have been seen as a potential remedy for these issues; however, a thorough review of past programs indicates limited research has been conducted on take back programs. Furthermore, there are significant gaps in take back program research. To address these gaps and ultimately determine if take back programs could improve public health, research was conducted in conjunction with the take back program Denton drug disposal days held in Denton, Texas. Socioeconomic, demographic, and geographic characteristics of Denton drug disposal days participants were investigated using surveys and Geographic Information Systems. Potential impacts of the Denton drug disposal days program on public health were determined by comparing data from Denton drug disposal days events with data supplied by the North Texas Poison Center. Results suggest that Denton drug disposal days events may have prevented accidental poisonings or intentional abuse, however only qualitative comparisons support this statement and there was insufficient empirical evidence to support the conclusion that Denton drug disposal days events were exclusively responsible for public health improvements. An interesting finding was that there was a definitive travel threshold that influenced participation in Denton drug disposal days events. Overall, this study fills some geographic, socioeconomic, and demographic data gaps of take back programs and proposes methods to analyze and improve participation in future take back programs. These methods could also be applied to improve participation in other local environmentally-focused programs such as household hazardous collection events.

Addressing geographic access barriers to emergency care services: a national ecologic study of hospitals in Brazil.

Science.gov (United States)

Rocha, Thiago Augusto Hernandes; da Silva, Núbia Cristina; Amaral, Pedro Vasconcelos; Barbosa, Allan Claudius Queiroz; Rocha, João Victor Muniz; Alvares, Viviane; de Almeida, Dante Grapiuna; Thumé, Elaine; Thomaz, Erika Bárbara Abreu Fonseca; de Sousa Queiroz, Rejane Christine; de Souza, Marta Rovery; Lein, Adriana; Lopes, Daniel Paulino; Staton, Catherine A; Vissoci, João Ricardo Nickenig; Facchini, Luiz Augusto

2017-08-22

Unequal distribution of emergency care services is a critical barrier to be overcome to assure access to emergency and surgical care. Considering this context it was objective of the present work analyze geographic access barriers to emergency care services in Brazil. A secondary aim of the study is to define possible roles to be assumed by small hospitals in the Brazilian healthcare network to overcome geographic access challenges. The present work can be classified as a cross-sectional ecological study. To carry out the present study, data of all 5843 Brazilian hospitals were categorized among high complexity centers and small hospitals. The geographical access barriers were identified through the use of two-step floating catchment area method. Once concluded the previous step an evaluation using the Getis-Ord-Gi method was performed to identify spatial clusters of municipalities with limited access to high complexity centers but well covered by well-equipped small hospitals. The analysis of accessibility index of high complexity centers highlighted large portions of the country with nearly zero hospital beds by inhabitant. In contrast, it was possible observe a group of 1595 municipalities with high accessibility to small hospitals, simultaneously with a low coverage of high complexity centers. Among the 1595 municipalities with good accessibility to small hospitals, 74% (1183) were covered by small hospitals with at least 60% of minimum emergency service requirements. The spatial clusters analysis aggregated 589 municipalities with high values related to minimum emergency service requirements. Small hospitals in these 589 cities could promote the equity in access to emergency services benefiting more than eight million people. There is a spatial disequilibrium within the country with prominent gaps in the health care network for emergency services. Taking this challenge into consideration, small hospitals could be a possible solution and foster equity in access

Geographical access to care at birth in Ghana: a barrier to safe motherhood

Directory of Open Access Journals (Sweden)

Gething Peter W

2012-11-01

Full Text Available Abstract Background Appropriate facility-based care at birth is a key determinant of safe motherhood but geographical access remains poor in many high burden regions. Despite its importance, geographical access is rarely audited systematically, preventing integration in national-level maternal health system assessment and planning. In this study, we develop a uniquely detailed set of spatially-linked data and a calibrated geospatial model to undertake a national-scale audit of geographical access to maternity care at birth in Ghana, a high-burden country typical of many in sub-Saharan Africa. Methods We assembled detailed spatial data on the population, health facilities, and landscape features influencing journeys. These were used in a geospatial model to estimate journey-time for all women of childbearing age (WoCBA to their nearest health facility offering differing levels of care at birth, taking into account different transport types and availability. We calibrated the model using data on actual journeys made by women seeking care. Results We found that a third of women (34% in Ghana live beyond the clinically significant two-hour threshold from facilities likely to offer emergency obstetric and neonatal care (EmONC classed at the ‘partial’ standard or better. Nearly half (45% live that distance or further from ‘comprehensive’ EmONC facilities, offering life-saving blood transfusion and surgery. In the most remote regions these figures rose to 63% and 81%, respectively. Poor levels of access were found in many regions that meet international targets based on facilities-per-capita ratios. Conclusions Detailed data assembly combined with geospatial modelling can provide nation-wide audits of geographical access to care at birth to support systemic maternal health planning, human resource deployment, and strategic targeting. Current international benchmarks of maternal health care provision are inadequate for these purposes because

Geographic Media Literacy

Science.gov (United States)

Lukinbeal, Chris

2014-01-01

While the use of media permeates geographic research and pedagogic practice, the underlying literacies that link geography and media remain uncharted. This article argues that geographic media literacy incorporates visual literacy, information technology literacy, information literacy, and media literacy. Geographic media literacy is the ability…

Epidemiology of hip fracture: Worldwide geographic variation

Directory of Open Access Journals (Sweden)

Dinesh K Dhanwal

2011-01-01

Full Text Available Osteoporosis is a major health problem, especially in elderly populations, and is associated with fragility fractures at the hip, spine, and wrist. Hip fracture contributes to both morbidity and mortality in the elderly. The demographics of world populations are set to change, with more elderly living in developing countries, and it has been estimated that by 2050 half of hip fractures will occur in Asia. This review conducted using the PubMed database describes the incidence of hip fracture in different regions of the world and discusses the possible causes of this wide geographic variation. The analysis of data from different studies show a wide geographic variation across the world, with higher hip fracture incidence reported from industrialized countries as compared to developing countries. The highest hip fracture rates are seen in North Europe and the US and lowest in Latin America and Africa. Asian countries such as Kuwait, Iran, China, and Hong Kong show intermediate hip fracture rates. There is also a north-south gradient seen in European studies, and more fractures are seen in the north of the US than in the south. The factors responsible of this variation are population demographics (with more elderly living in countries with higher incidence rates and the influence of ethnicity, latitude, and environmental factors. The understanding of this changing geographic variation will help policy makers to develop strategies to reduce the burden of hip fractures in developing countries such as India, which will face the brunt of this problem over the coming decades.

Mining geographic variations of Plasmodium vivax for active surveillance: a case study in China.

Science.gov (United States)

Shi, Benyun; Tan, Qi; Zhou, Xiao-Nong; Liu, Jiming

2015-05-27

Geographic variations of an infectious disease characterize the spatial differentiation of disease incidences caused by various impact factors, such as environmental, demographic, and socioeconomic factors. Some factors may directly determine the force of infection of the disease (namely, explicit factors), while many other factors may indirectly affect the number of disease incidences via certain unmeasurable processes (namely, implicit factors). In this study, the impact of heterogeneous factors on geographic variations of Plasmodium vivax incidences is systematically investigate in Tengchong, Yunnan province, China. A space-time model that resembles a P. vivax transmission model and a hidden time-dependent process, is presented by taking into consideration both explicit and implicit factors. Specifically, the transmission model is built upon relevant demographic, environmental, and biophysical factors to describe the local infections of P. vivax. While the hidden time-dependent process is assessed by several socioeconomic factors to account for the imported cases of P. vivax. To quantitatively assess the impact of heterogeneous factors on geographic variations of P. vivax infections, a Markov chain Monte Carlo (MCMC) simulation method is developed to estimate the model parameters by fitting the space-time model to the reported spatial-temporal disease incidences. Since there is no ground-truth information available, the performance of the MCMC method is first evaluated against a synthetic dataset. The results show that the model parameters can be well estimated using the proposed MCMC method. Then, the proposed model is applied to investigate the geographic variations of P. vivax incidences among all 18 towns in Tengchong, Yunnan province, China. Based on the geographic variations, the 18 towns can be further classify into five groups with similar socioeconomic causality for P. vivax incidences. Although this study focuses mainly on the transmission of P. vivax

Geographical variation and the determinants of domestic endotoxin levels in mattress dust in Europe

NARCIS (Netherlands)

Chen, C.M.; Thiering, E.; Doekes, G.; Zock, J.P.; Bakolis, I.; Norbäck, D.; Sunyer, J.; Villani, S.; Verlato, G.; Täubel, M.; Jarvis, D.

2012-01-01

Endotoxin exposures have manifold effects on human health. The geographical variation and determinants of domestic endotoxin levels in Europe have not yet been extensively described. To investigate the geographical variation and determinants of domestic endotoxin concentrations in mattress dust in

EC multicentre study on small area variations in air quality and health (SAVIAH)

Energy Technology Data Exchange (ETDEWEB)

Lebret, E. [National Inst. of Public Health and Environmental Protection (Netherlands); Elliott, P. [London School of Hygiene and Tropical Medicine (United Kingdom); Briggs, D. [Huddersfield Univ. (United Kingdom). Inst. of Environmental and Policy Analysis; Gorynski, P. [National Inst. of Hygiene, Warsaw (Poland); Kriz, B. [National Inst. of Public Health, Prague (Czech Republic)

1995-12-31

SAVIAH is an EC-funded methodological study coordinated by Dr. Paul Elliott at the LSHTM (London School of Hygiene and Tropical Medicine). The project aims to apply, test and evaluate new and emerging methodologies in the fields of epidemiology, geography, air pollution modelling and small area health statistics, and to bring the data together in a consistent geographic framework. The study was carried out in the U.K., The Netherlands, Poland and the Czech Republic, using the example of childhood wheeze and outdoor air pollution. Specific aims of the study were, in each centre, (1) to carry out a questionnaire survey among parents of guardians of around 4000 to 5000 children aged between 7 and 11, (2) to carry out a series of air pollution surveys for NO{sub 2} as a proxy for the complex of traffic-related pollutants, and SO{sub 2} (PL), using a dense network of passive samplers, (3) to build up a detailed Geographical Information System (GIS) for each of the study areas; (4) to construct an air pollution `map` based on the NO{sub 2} and SO{sub 2} measurements and a health `map` based on `map smoothing` techniques and (5) to explore methods to examine relationships between health, pollution, socio-economic and other data. (author)

EC multicentre study on small area variations in air quality and health (SAVIAH)

Energy Technology Data Exchange (ETDEWEB)

Lebret, E [National Inst. of Public Health and Environmental Protection (Netherlands); Elliott, P [London School of Hygiene and Tropical Medicine (United Kingdom); Briggs, D [Huddersfield Univ. (United Kingdom). Inst. of Environmental and Policy Analysis; Gorynski, P [National Inst. of Hygiene, Warsaw (Poland); Kriz, B [National Inst. of Public Health, Prague (Czech Republic)

1996-12-31

SAVIAH is an EC-funded methodological study coordinated by Dr. Paul Elliott at the LSHTM (London School of Hygiene and Tropical Medicine). The project aims to apply, test and evaluate new and emerging methodologies in the fields of epidemiology, geography, air pollution modelling and small area health statistics, and to bring the data together in a consistent geographic framework. The study was carried out in the U.K., The Netherlands, Poland and the Czech Republic, using the example of childhood wheeze and outdoor air pollution. Specific aims of the study were, in each centre, (1) to carry out a questionnaire survey among parents of guardians of around 4000 to 5000 children aged between 7 and 11, (2) to carry out a series of air pollution surveys for NO{sub 2} as a proxy for the complex of traffic-related pollutants, and SO{sub 2} (PL), using a dense network of passive samplers, (3) to build up a detailed Geographical Information System (GIS) for each of the study areas; (4) to construct an air pollution `map` based on the NO{sub 2} and SO{sub 2} measurements and a health `map` based on `map smoothing` techniques and (5) to explore methods to examine relationships between health, pollution, socio-economic and other data. (author)

New Methods for Resilient Societies: The Geographical Analysis of Injury Data

Directory of Open Access Journals (Sweden)

Eric Vaz

2017-03-01

Full Text Available In this paper an empirical assessment of injury patterns is supplied as an example of social endurance - resilient societies can be built by means of geographical analysis of injury data, providing better support for decision makers regarding urban safety. Preventing road traffic collisions with vulnerable road users, such as pedestrians, could help mitigate significant loses and improve infrastructure planning. In this sense, the geographical aspects of injury prevention are of clear spatial analog, and should be tested regarding the carrying capacity of urban areas as well as vulnerability for growing urban regions. The application of open source development tool for spatial analysis research in health studies is addressed. The study aims to create a framework of available open source tools through Python that enable better decision making through a systematic review of existing tools for spatial analysis. Methodologically, spatial autocorrelation indices are tested as well as influential variables are brought forward to establish a better understanding of the incremental concern of injuries in rural areas, in general, and in the Greater Toronto Area, in particular. By using Python Library for Spatial Analysis (PySAL, an integrative vision of assessing a growing epidemiological concern of injuries in Toronto, one of North America’s fastest growing economic metropolises is offered. In this sense, this study promotes the use of PySAL and open source toolsets for integrating spatial analysis and geographical analysis for health practitioners. The novelty and capabilities of open source tools through methods such as PySAL allow for a cost efficiency as well as give planning an easier methodological toolbox for advances spatial modelling techniques.

The study of disaster situation awareness based on volunteered geographic information

Science.gov (United States)

Zhao, Qiansheng; Chen, Zi; Li, Shengming; Luo, Nianxue

2015-12-01

As the development of Web 2.0, the social media like microblog, blogs and social network have supplied a bunch of information with locations (Volunteered Geographical Information, VGI).Recent years many cases have shown that, if disaster happened, the cyber citizens will get together very quickly and share the disaster information, this results a bunch of volunteered geographical information about disaster situation which is very valuable for disaster response if this VGIs are used efficiently and properly. This project will take typhoon disaster as case study. In this paper, we study the relations between weibo messages and the real typhoon situation, we proposed an analysis framework for mine the relations between weibo messages distribution and physical space. We found that the number of the weibo messages, key words frequency and spatial temporary distribution of the messages have strong relations with the disaster spread in the real world, and this research results can improve our disaster situation awareness in the future. The achievement of the study will give a method for typhoon disaster situation awareness based on VGI from the bottom up, and will locate the disaster spot and evolution quickly which is very important for disaster response and recover.

Epidemiologic Investigation of Dysentery in North of Iran: Use of Geographic Information System (GIS)

Science.gov (United States)

Nadi, Aliasghar; Abedi, Ghassem; Isazadeh, Khatoon; Rostami, Farideh; Siamian, Hasan; Hosseini, Mahbobeh; Asadi-Aliabadi, Mehran

2016-01-01

Introduction: Dysentery is an intestinal inflammation which is created by the microorganisms attacking intestine mucus. Knowing the prevalence of this disease in different societies paves the way for programming and providing treatment and preventive measures. The main purpose of this study is to investigate the epidemiologic pattern and geographical distribution of dysentery based on GIS. Method: This was a cross-sectional and analytical study. The dysentery cases were gathered from the section of contagious diseases in health chancellery of Mazandaran University of medical sciences through a checklist during the years 2008 to 2013. In order to analyze the data, we made use of chi-square test. Then, the GIS software was used to recognize the geographical distribution of the disease. Findings: There was reported about 653 cases affected by dysentery and the disease proportion was equal for both men and women. Most of the persons with dysentery was city dwellers. The highest rate of incidents was reported to be in Fereidunkenar in 2011, and the disease was mostly found among farmers, students, and college students. Conclusion: Since dysentery is a disease transmitted from water and food, and in this study, it was found out that the disease sources included using polluted water, vegetables, and lack of appropriate personal hygiene. Therefore, it is essential to take into consideration the health issues. Moreover, the suitable conditions of the geographical area which has the highest rate of incident have paved the way for dysentery occurrence. In addition, using geographic information system (GIS) as a visual instrument can help the stakeholders and officials to elaborate on the death trend and recognize the areas for optimal use of the available resources. PMID:28144197

Geographical National Condition and Complex System

Directory of Open Access Journals (Sweden)

WANG Jiayao

2016-01-01

Full Text Available The significance of studying the complex system of geographical national conditions lies in rationally expressing the complex relationships of the “resources-environment-ecology-economy-society” system. Aiming to the problems faced by the statistical analysis of geographical national conditions, including the disunity of research contents, the inconsistency of range, the uncertainty of goals, etc.the present paper conducted a range of discussions from the perspectives of concept, theory and method, and designed some solutions based on the complex system theory and coordination degree analysis methods.By analyzing the concepts of geographical national conditions, geographical national conditions survey and geographical national conditions statistical analysis, as well as investigating the relationships between theirs, the statistical contents and the analytical range of geographical national conditions are clarified and defined. This investigation also clarifies the goals of the statistical analysis by analyzing the basic characteristics of the geographical national conditions and the complex system, and the consistency between the analysis of the degree of coordination and statistical analyses. It outlines their goals, proposes a concept for the complex system of geographical national conditions, and it describes the concept. The complex system theory provides new theoretical guidance for the statistical analysis of geographical national conditions. The degree of coordination offers new approaches on how to undertake the analysis based on the measurement method and decision-making analysis scheme upon which the complex system of geographical national conditions is based. It analyzes the overall trend via the degree of coordination of the complex system on a macro level, and it determines the direction of remediation on a micro level based on the degree of coordination among various subsystems and of single systems. These results establish

A Promising Tool to Assess Long Term Public Health Effects of Natural Disasters: Combining Routine Health Survey Data and Geographic Information Systems to Assess Stunting after the 2001 Earthquake in Peru.

Science.gov (United States)

Rydberg, Henny; Marrone, Gaetano; Strömdahl, Susanne; von Schreeb, Johan

2015-01-01

Research on long-term health effects of earthquakes is scarce, especially in low- and middle-income countries, which are disproportionately affected by disasters. To date, progress in this area has been hampered by the lack of tools to accurately measure these effects. Here, we explored whether long-term public health effects of earthquakes can be assessed using a combination of readily available data sources on public health and geographic distribution of seismic activity. We used childhood stunting as a proxy for public health effects. Data on stunting were attained from Demographic and Health Surveys. Earthquake data were obtained from U.S. Geological Survey's ShakeMaps, geographic information system-based maps that divide earthquake affected areas into different shaking intensity zones. We combined these two data sources to categorize the surveyed children into different earthquake exposure groups, based on how much their area of residence was affected by the earthquake. We assessed the feasibility of the approach using a real earthquake case--an 8.4 magnitude earthquake that hit southern Peru in 2001. Our results indicate that the combination of health survey data and disaster data may offer a readily accessible and accurate method for determining the long-term public health consequences of a natural disaster. Our work allowed us to make pre- and post-earthquake comparisons of stunting, an important indicator of the well-being of a society, as well as comparisons between populations with different levels of exposure to the earthquake. Furthermore, the detailed GIS based data provided a precise and objective definition of earthquake exposure. Our approach should be considered in future public health and disaster research exploring the long-term effects of earthquakes and potentially other natural disasters.

A Promising Tool to Assess Long Term Public Health Effects of Natural Disasters: Combining Routine Health Survey Data and Geographic Information Systems to Assess Stunting after the 2001 Earthquake in Peru.

Directory of Open Access Journals (Sweden)

Henny Rydberg

Full Text Available Research on long-term health effects of earthquakes is scarce, especially in low- and middle-income countries, which are disproportionately affected by disasters. To date, progress in this area has been hampered by the lack of tools to accurately measure these effects. Here, we explored whether long-term public health effects of earthquakes can be assessed using a combination of readily available data sources on public health and geographic distribution of seismic activity.We used childhood stunting as a proxy for public health effects. Data on stunting were attained from Demographic and Health Surveys. Earthquake data were obtained from U.S. Geological Survey's ShakeMaps, geographic information system-based maps that divide earthquake affected areas into different shaking intensity zones. We combined these two data sources to categorize the surveyed children into different earthquake exposure groups, based on how much their area of residence was affected by the earthquake. We assessed the feasibility of the approach using a real earthquake case--an 8.4 magnitude earthquake that hit southern Peru in 2001.Our results indicate that the combination of health survey data and disaster data may offer a readily accessible and accurate method for determining the long-term public health consequences of a natural disaster. Our work allowed us to make pre- and post-earthquake comparisons of stunting, an important indicator of the well-being of a society, as well as comparisons between populations with different levels of exposure to the earthquake. Furthermore, the detailed GIS based data provided a precise and objective definition of earthquake exposure. Our approach should be considered in future public health and disaster research exploring the long-term effects of earthquakes and potentially other natural disasters.

Association between Floods and Acute Cardiovascular Diseases: A Population-Based Cohort Study Using a Geographic Information System Approach.

Science.gov (United States)

Vanasse, Alain; Cohen, Alan; Courteau, Josiane; Bergeron, Patrick; Dault, Roxanne; Gosselin, Pierre; Blais, Claudia; Bélanger, Diane; Rochette, Louis; Chebana, Fateh

2016-01-28

Floods represent a serious threat to human health beyond the immediate risk of drowning. There is few data on the potential link between floods and direct consequences on health such as on cardiovascular health. This study aimed to explore the impact of one of the worst floods in the history of Quebec, Canada on acute cardiovascular diseases (CVD). A cohort study with a time series design with multiple control groups was built with the adult population identified in the Quebec Integrated Chronic Disease Surveillance System. A geographic information system approach was used to define the study areas. Logistic regressions were performed to compare the occurrence of CVD between groups. The results showed a 25%-27% increase in the odds in the flooded population in spring 2011 when compared with the population in the same area in springs 2010 and 2012. Besides, an increase up to 69% was observed in individuals with a medical history of CVD. Despite interesting results, the association was not statistically significant. A possible explanation to this result can be that the population affected by the flood was probably too small to provide the statistical power to answer the question, and leaves open a substantial possibility for a real and large effect.

State funding for local public health: observations from six case studies.

Science.gov (United States)

Potter, Margaret A; Fitzpatrick, Tiffany

2007-01-01

The purpose of this study is to describe state funding of local public health within the context of state public health system types. These types are based on administrative relationships, legal structures, and relative proportion of state funding in local public health budgets. We selected six states representing various types and geographic regions. A case study for each state summarized available information and was validated by state public health officials. An analysis of the case studies reveals that the variability of state public health systems--even within a given type--is matched by variability in approaches to funding local public health. Nevertheless, some meaningful associations appear. For example, higher proportions of state funding occur along with higher levels of state oversight and the existence of local service mandates in state law. These associations suggest topics for future research on public health financing in relation to local accountability, local input to state priority-setting, mandated local services, and the absence of state funds for public health services in some local jurisdictions.

Geographical variation of overweight, obesity and related risk factors: Findings from the European Health Examination Survey in Luxembourg, 2013-2015.

Science.gov (United States)

Samouda, Hanen; Ruiz-Castell, Maria; Bocquet, Valery; Kuemmerle, Andrea; Chioti, Anna; Dadoun, Frédéric; Kandala, Ngianga-Bakwin; Stranges, Saverio

2018-01-01

The analyses of geographic variations in the prevalence of major chronic conditions, such as overweight and obesity, are an important public health tool to identify "hot spots" and inform allocation of funding for policy and health promotion campaigns, yet rarely performed. Here we aimed at exploring, for the first time in Luxembourg, potential geographic patterns in overweight/obesity prevalence in the country, adjusted for several demographic, socioeconomic, behavioural and health status characteristics. Data came from 720 men and 764 women, 25-64 years old, who participated in the European Health Examination Survey in Luxembourg (2013-2015). To investigate the geographical variation, geo-additive semi-parametric mixed model and Bayesian modelisations based on Markov Chain Monte Carlo techniques for inference were performed. Large disparities in the prevalence of overweight and obesity were found between municipalities, with the highest rates of obesity found in 3 municipalities located in the South-West of the country. Bayesian approach also underlined a nonlinear effect of age on overweight and obesity in both genders (significant in men) and highlighted the following risk factors: 1. country of birth for overweight in men born in a non-European country (Posterior Odds Ratio (POR): 3.24 [1.61-8.69]) and women born in Portugal (POR: 2.44 [1.25-4.43]), 2. low educational level (secondary or below) for overweight (POR: 1.66 (1.06-2.72)] and obesity (POR:2.09 [1.05-3.65]) in men, 3. single marital status for obesity in women (POR: 2.20 [1.24-3.91]), 4.fair (men: POR: 3.19 [1.58-6.79], women: POR: 2.24 [1.33-3.73]) to very bad health perception (men: POR: 15.01 [2.16-98.09]) for obesity, 5. sleeping more than 6 hours for obesity in unemployed men (POR: 3.66 [2.02-8.03]). Protective factors highlighted were: 1. single marital status against overweight (POR: [0.60 (0.38-0.96)]) and obesity (POR: 0.39 [0.16-0.84]) in men, 2. the fact to be widowed against overweight in

Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study.

Science.gov (United States)

Gómez de la Cámara, Agustín; De Andrés Esteban, Eva; Urrútia Cuchí, Gerard; Calderón Sandubete, Enrique; Rubio Herrera, Miguel Ángel; Menéndez Orenga, Miguel; Lora Pablos, David

2017-11-07

It has often been suggested that cardiovascular mortality and their geographical heterogeneity are associated with nutrients intake patterns and also lipid profile. The large Spanish study Dieta y Riesgo de Enfermedades Cardiovasculares en España (DRECE) investigated this theory from 1991 to 2010. Out of the 4,783 Spanish individuals making up the DRECE cohort, 220 subjects (148 men and 72 women) died (4.62%) during the course of the study. The mean age of patients who died from cardiovascular causes (32 in all) was 61.08 years 95% CI (57.47-64.69) and 70.91% of them were males. The consumption of nutrients and the lipid profile by geographical area, studied by geospatial models, showed that the east and southern area of the country had the highest fat intake coupled to a high rate of unhealthy lipid profile. It was concluded that the spatial geographical analysis showed a relationship between high fat intake, unhealthy lipid profile and cardiovascular mortality in the different geographical areas, with a high variability within the country.

The evolution of cooperation on geographical networks

Science.gov (United States)

Li, Yixiao; Wang, Yi; Sheng, Jichuan

2017-11-01

We study evolutionary public goods game on geographical networks, i.e., complex networks which are located on a geographical plane. The geographical feature effects in two ways: In one way, the geographically-induced network structure influences the overall evolutionary dynamics, and, in the other way, the geographical length of an edge influences the cost when the two players at the two ends interact. For the latter effect, we design a new cost function of cooperators, which simply assumes that the longer the distance between two players, the higher cost the cooperator(s) of them have to pay. In this study, network substrates are generated by a previous spatial network model with a cost-benefit parameter controlling the network topology. Our simulations show that the greatest promotion of cooperation is achieved in the intermediate regime of the parameter, in which empirical estimates of various railway networks fall. Further, we investigate how the distribution of edges' geographical costs influences the evolutionary dynamics and consider three patterns of the distribution: an approximately-equal distribution, a diverse distribution, and a polarized distribution. For normal geographical networks which are generated using intermediate values of the cost-benefit parameter, a diverse distribution hinders the evolution of cooperation, whereas a polarized distribution lowers the threshold value of the amplification factor for cooperation in public goods game. These results are helpful for understanding the evolution of cooperation on real-world geographical networks.

Geographical and organisational variation in the structure of primary care services: implications for study design.

Science.gov (United States)

Adams, Geoffrey; Gulliford, Martin; Ukoumunne, Obioha; Chinn, Susan; Campbell, Michael

2003-04-01

To evaluate the extent to which structural variation between English general practices is accounted for at higher organisational levels in the National Health Service (NHS). We analysed data for 11 structural characteristics of all general practices in England. These included characteristics of general practitioners (GPs), the practice list and the services provided by practices. A four-level random effects model was used for analysis and components of variance were estimated at the levels of practice, primary care group (PCG), health authority and region. The proportion of single-handed practices ranged from 0% to 74% at PCG level and from 14% to 43% in different regions. The proportion of practices providing diabetes services ranged from 0% to 100% at PCG level and from 71% to 96% in different regions. The list size per GP ranged from 1314 to 2704 patients per GP at PCG level and from 1721 to 2225 at regional level. Across the 11 variables analysed, components of variance at general practice level accounted for between 43% and 95% of the total variance. The PCG level accounted for between 1% and 29%, the health authority level for between 2% and 15% and the regional level for between 0% and 13% of the total variance. Adjusting for an index of deprivation and the supply of GPs gave a median 8% decrease in the sum of variance components. Geographical and organisational variation in the structure of primary care services should be considered in designing studies in health systems such as the English NHS. Stratified designs may be used to increase study efficiency, but variation between areas may sometimes compromise generalisability.

Geographic Variation in Morbidity and Mortality of Cerebrovascular Diseases in Korea during 2011-2015.

Science.gov (United States)

Lee, Juyeon; Bahk, Jinwook; Kim, Ikhan; Kim, Yeon-Yong; Yun, Sung-Cheol; Kang, Hee-Yeon; Lee, Jeehye; Park, Jong Heon; Shin, Soon-Ae; Khang, Young-Ho

2018-03-01

Little is known about within-country variation in morbidity and mortality of cerebrovascular diseases (CVDs). Geographic differences in CVD morbidity and mortality have yet to be properly examined. This study examined geographic variation in morbidity and mortality of CVD, neighborhood factors for CVD morbidity and mortality, and the association between CVD morbidity and mortality across the 245 local districts in Korea during 2011-2015. District-level health care utilization and mortality data were obtained to estimate age-standardized CVD morbidity and mortality. The bivariate Pearson correlation was used to examine the linear relationship between district-level CVD morbidity and mortality Z-scores. Simple linear regression and multivariate analyses were conducted to investigate the associations of area characteristics with CVD morbidity, mortality, and discrepancies between morbidity and mortality. Substantial variation was found in CVD morbidity and mortality across the country, with 1074.9 excess CVD inpatients and 73.8 excess CVD deaths per 100,000 between the districts with the lowest and highest CVD morbidity and mortality, respectively. Higher rates of CVD admissions and deaths were clustered in the noncapital regions. A moderate geographic correlation between CVD morbidity and mortality was found (Pearson correlation coefficient = .62 for both genders). Neighborhood level indicators for socioeconomic disadvantages, undersupply of health care resources, and unhealthy behaviors were positively associated with CVD morbidity and mortality and the relative standing of CVD mortality vis-à-vis morbidity. Policy actions targeting life-course socioeconomic conditions, equitable distribution of health care resources, and behavioral risk factors may help reduce geographic differences in CVD morbidity and mortality in Korea. Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Socioeconomic Development Inequalities among Geographic Units ...

African Journals Online (AJOL)

Socio-economic development inequality among geographic units is a phenomenon common in both the developed and developing countries. Regional inequality may result in dissension among geographic units of the same state due to the imbalance in socio-economic development. This study examines the inequality ...

Factors Influence on Geographic Distribution of Physicians in Selected Countries: A Review Article

Directory of Open Access Journals (Sweden)

Amir Ashkan Nasiripour

2013-12-01

Full Text Available Background: One of the most important inequalities of providing health services is misdistribution of human resources, especially physicians. Many factors contribute to the distribution of physicians in different regions. The present study was aimed to explore the effective factors in distributing physicians in different countries. Methods: This study is a systematic review, in which the data were gathered through literature review, online searches in multiple databases and relevant organizations’ websites. Later, the collected data were classified using content analysis method, and consequently, they were illustrated in comparative matrix. Results: The factors that influence the dispersion of the physicians are divided into 4 main groups. Firstly, Geographic and Demographic factors of the region such as, population, age, gender and climate. Secondly, Health factors of the region and the country such as, the number of hospitals, health centers and health indicators. Thirdly, Economic, Social and Political factors of the region such as, economic growth, culture and believes. And finally, the factors related to physicians' characteristics and motivation such as, age, gender and the compensation system. Conclusion: There are different reasons why physicians spread in different countries’ geographical regions. Regarding the unequal distribution of physicians in Iran, identifying these influential reasons and also the factors affecting the distribution of physicians, and the impact of each one of these, can lead to a fair and equal distribution of resources of the health sector.

Geographic Expansion of Lyme Disease in the Southeastern United States, 2000-2014.

Science.gov (United States)

Lantos, Paul M; Nigrovic, Lise E; Auwaerter, Paul G; Fowler, Vance G; Ruffin, Felicia; Brinkerhoff, R Jory; Reber, Jodi; Williams, Carl; Broyhill, James; Pan, William K; Gaines, David N

2015-12-01

Background.  The majority of Lyme disease cases in the United States are acquired on the east coast between northern Virginia and New England. In recent years the geographic extent of Lyme disease has been expanding, raising the prospect of Lyme disease becoming endemic in the southeast. Methods.  We collected confirmed and probable cases of Lyme disease from 2000 through 2014 from the Virginia Department of Health and North Carolina Department of Public Health and entered them in a geographic information system. We performed spatial and spatiotemporal cluster analyses to characterize Lyme disease expansion. Results.  There was a marked increase in Lyme disease cases in Virginia, particularly from 2007 onwards. Northern Virginia experienced intensification and geographic expansion of Lyme disease cases. The most notable area of expansion was to the southwest along the Appalachian Mountains with development of a new disease cluster in the southern Virginia mountain region. Conclusions.  The geographic distribution of Lyme disease cases significantly expanded in Virginia between 2000 and 2014, particularly southward in the Virginia mountain ranges. If these trends continue, North Carolina can expect autochthonous Lyme disease transmission in its mountain region in the coming years.

Focus Studies of Geographically Connected Countries: Analysis of Regionally Oriented Studies in Political Science Publications 1996-2012

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Andreja Petković

2013-01-01

Full Text Available This article studies the focus studies of geographically connected and geographically not connected countries, i.e. regional and comparative regional studies. In the first part of the article, a description of the role and development of this type of studies as a subdiscipline of comparative politics is provided. In the second part, I present the results of quantitative analysis of the content of articles published in the academic journals published or co-published by the Faculty of Political Science, University of Zagreb. The objects of analysis are regional studies of South-East Europe published in the journals. The main goal of this article is to determine which countries in their regional surroundings are researched the most by Croatian political scientists (and other authors who publish such articles in Croatian or English language in those journals, and which countries Croatia is most often compared to. This research has shown that, with regard to studies of the region, Croatian political scientists mostly focus on the countries of the former Yugoslavia.

Geographically widespread swordfish barcode stock identification: a case study of its application.

Directory of Open Access Journals (Sweden)

Anna Maria Pappalardo

Full Text Available The swordfish (Xiphias gladius is a cosmopolitan large pelagic fish inhabiting tempered and tropical waters and it is a target species for fisheries all around the world. The present study investigated the ability of COI barcoding to reliably identify swordfish and particularly specific stocks of this commercially important species.We applied the classical DNA barcoding technology, upon a 682 bp segment of COI, and compared swordfish sequences from different geographical sources (Atlantic, Indian Oceans and Mediterranean Sea. The sequences of the 5' hyper-variable fragment of the control region (5'dloop, were also used to validate the efficacy of COI as a stock-specific marker.This information was successfully applied to the discrimination of unknown samples from the market, detecting in some cases mislabeled seafood products.The NJ distance-based phenogram (K2P model obtained with COI sequences allowed us to correlate the swordfish haplotypes to the different geographical stocks. Similar results were obtained with 5'dloop. Our preliminary data in swordfish Xiphias gladius confirm that Cytochrome Oxidase I can be proposed as an efficient species-specific marker that has also the potential to assign geographical provenance. This information might speed the samples analysis in commercial application of barcoding.

Studying the making of geographical knowledge

DEFF Research Database (Denmark)

Adriansen, Hanne Kirstine; Madsen, Lene Møller

2009-01-01

The article addresses the issue of being a ‘double' insider when conducting interviews. Double insider means being an insider both in relation to one's research matter - in the authors' case the making of geographical knowledge - and in relation to one's interviewees - our colleagues. The article...... is a reflection paper in the sense that we reflect upon experiences drawn from a previous research project carried out in Danish academia. It is important that the project was situated in a Scandinavian workplace culture because this has bearings for the social, cultural, and economic situation in which knowledge...

Verification of strontium isotopes and its possible source in Indian basmati rice for geographical authentication study

International Nuclear Information System (INIS)

Lagad, Rupali A.; Rai, Vinai K.; Singh, Sunil K.

2015-01-01

Due to globalization of food and agriculture product's market, there is increasing awareness of safety and authenticity of the food products. Consumers continuously demand the reassurance of origin and content of their foods. Hence safety and authenticity of food has been a growing analytical challenge. Basmati rice, the unique aromatic quality rice and a nature's gift to Indian sub-continent is produced and consumed on a large scale. Due to its profitable market as well as great demand overseas true Basmati rice market is facing unfair competition by unscrupulous producers for profit. Very few researches for geographical authentication are available for Indian basmati rice. Sr isotope composition of rice could be used as a geographical source indicator; however, little information is available on the possible source (lithogenic, biogenic, silicate, carbonate) of Sr in Rice or any other food stuff for tracing the geographical origin using Strontium isotopes as tracer. Hence in order to determine suitability of strontium isotopes as tracer and its possible source in rice for geographical authentication study, strontium isotope signature study of authentic Indian Basmati rice along with in situ soil and water of that region have been carried out

Correlates and geographic patterns of knowledge that physical activity decreases cancer risk.

Science.gov (United States)

Ramírez, A Susana; Finney Rutten, Lila J; Vanderpool, Robin C; Moser, Richard P; Hesse, Bradford W

2013-04-01

While many lifestyle-related cancer risk factors including tobacco use, poor diet, and sun exposure are well recognized by the general public, the role of physical activity in decreasing cancer risk is less recognized. Studies have demonstrated gender-, race/ethnicity-, and age-based disparities in cancer risk factor knowledge; however, beliefs and geographic factors that may be related to knowledge are under-examined. In this study, we analyzed data from the 2008 Health Information National Trends Survey to determine correlates of knowledge of the relationship between physical activity and reduced cancer risk in the adult US population. We generated geographic information system maps to examine the geographic distribution of this knowledge. Results revealed that there is confusion among US adults about the relationship between physical activity and cancer risk: Respondents who believed that cancer is not preventable had significantly lower odds of knowing that physical activity reduces cancer risk (p physical activity reduces cancer risk (p physical activity guidelines were also significantly more likely to know that physical activity reduces cancer risk (p physical inactivity. Correlates of cancer risk factor knowledge point to opportunities for targeted interventions.

Geographic Literacy and Moral Formation among University Students

Science.gov (United States)

Bascom, Jonathan

2011-01-01

This study extends analysis of geographic literacy further by examining the relationship of geographic knowledge with the primary goal of geographic educators--cultivation of cultural understanding and moral sensitivity for global citizenry. The main aim is to examine contributors to moral formation during the university years based on a survey…

Case studies in geographic information systems for environmental streamlining

Science.gov (United States)

2012-05-31

This 2012 summary report addresses the current use of geographic information systems (GIS) and related technologies by State Departments of Transportation (DOTs) for environmental streamlining and stewardship, particularly in relation to the National...

A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.

Science.gov (United States)

Lyseen, A K; Nøhr, C; Sørensen, E M; Gudes, O; Geraghty, E M; Shaw, N T; Bivona-Tellez, C

2014-08-15

The application of GIS in health science has increased over the last decade and new innovative application areas have emerged. This study reviews the literature and builds a framework to provide a conceptual overview of the domain, and to promote strategic planning for further research of GIS in health. The framework is based on literature from the library databases Scopus and Web of Science. The articles were identified based on keywords and initially selected for further study based on titles and abstracts. A grounded theory-inspired method was applied to categorize the selected articles in main focus areas. Subsequent frequency analysis was performed on the identified articles in areas of infectious and non-infectious diseases and continent of origin. A total of 865 articles were included. Four conceptual domains within GIS in health sciences comprise the framework: spatial analysis of disease, spatial analysis of health service planning, public health, health technologies and tools. Frequency analysis by disease status and location show that malaria and schistosomiasis are the most commonly analyzed infectious diseases where cancer and asthma are the most frequently analyzed non-infectious diseases. Across categories, articles from North America predominate, and in the category of spatial analysis of diseases an equal number of studies concern Asia. Spatial analysis of diseases and health service planning are well-established research areas. The development of future technologies and new application areas for GIS and data-gathering technologies such as GPS, smartphones, remote sensing etc. will be nudging the research in GIS and health.

A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies

Science.gov (United States)

Nøhr, C.; Sørensen, E. M.; Gudes, O.; Geraghty, E. M.; Shaw, N. T.; Bivona-Tellez, C.

2014-01-01

Summary Objectives The application of GIS in health science has increased over the last decade and new innovative application areas have emerged. This study reviews the literature and builds a framework to provide a conceptual overview of the domain, and to promote strategic planning for further research of GIS in health. Method The framework is based on literature from the library databases Scopus and Web of Science. The articles were identified based on keywords and initially selected for further study based on titles and abstracts. A grounded theory-inspired method was applied to categorize the selected articles in main focus areas. Subsequent frequency analysis was performed on the identified articles in areas of infectious and non-infectious diseases and continent of origin. Results A total of 865 articles were included. Four conceptual domains within GIS in health sciences comprise the framework: spatial analysis of disease, spatial analysis of health service planning, public health, health technologies and tools. Frequency analysis by disease status and location show that malaria and schistosomiasis are the most commonly analyzed infectious diseases where cancer and asthma are the most frequently analyzed non-infectious diseases. Across categories, articles from North America predominate, and in the category of spatial analysis of diseases an equal number of studies concern Asia. Conclusion Spatial analysis of diseases and health service planning are well-established research areas. The development of future technologies and new application areas for GIS and data-gathering technologies such as GPS, smartphones, remote sensing etc. will be nudging the research in GIS and health. PMID:25123730

The geographic distribution patterns of HIV-, HCV- and co-infections among drug users in a national methadone maintenance treatment program in Southwest China.

Science.gov (United States)

Zhou, Yi-Biao; Liang, Song; Wang, Qi-Xing; Gong, Yu-Han; Nie, Shi-Jiao; Nan, Lei; Yang, Ai-Hui; Liao, Qiang; Song, Xiu-Xia; Jiang, Qing-Wu

2014-03-10

HIV-, HCV- and HIV/HCV co-infections among drug users have become a rapidly emerging global public health problem. In order to constrain the dual epidemics of HIV/AIDS and drug use, China has adopted a methadone maintenance treatment program (MMTP) since 2004. Studies of the geographic heterogeneity of HIV and HCV infections at a local scale are sparse, which has critical implications for future MMTP implementation and health policies covering both HIV and HCV prevention among drug users in China. This study aimed to characterize geographic patterns of HIV and HCV prevalence at the township level among drug users in a Yi Autonomous Prefecture, Southwest of China. Data on demographic and clinical characteristics of all clients in the 11 MMTP clinics of the Yi Autonomous Prefecture from March 2004 to December 2012 were collected. A GIS-based geographic analysis involving geographic autocorrelation analysis and geographic scan statistics were employed to identify the geographic distribution pattern of HIV-, HCV- and co-infections among drug users. A total of 6690 MMTP clients was analyzed. The prevalence of HIV-, HCV- and co-infections were 25.2%, 30.8%, and 10.9% respectively. There were significant global and local geographic autocorrelations for HIV-, HCV-, and co-infection. The Moran's I was 0.3015, 0.3449, and 0.3155, respectively (P geographic autocorrelation analysis and the geographic scan statistical analysis showed that HIV-, HCV-, and co-infections in the prefecture exhibited significant geographic clustering at the township level. The geographic distribution pattern of each infection group was different. HIV-, HCV-, and co-infections among drug users in the Yi Autonomous Prefecture all exhibited substantial geographic heterogeneity at the township level. The geographic distribution patterns of the three groups were different. These findings imply that it may be necessary to inform or invent site-specific intervention strategies to better devote currently

Demographic and health surveillance of mobile pastoralists in Chad: integration of biometric fingerprint identification into a geographical information system.

Science.gov (United States)

Weibel, Daniel; Schelling, Esther; Bonfoh, Bassirou; Utzinger, Jürg; Hattendorf, Jan; Abdoulaye, Mahamat; Madjiade, Toguina; Zinsstag, Jakob

2008-11-01

There is a pressing need for baseline demographic and health-related data to plan, implement and evaluate health interventions in developing countries, and to monitor progress towards international development goals. However, mobile pastoralists, i.e. people who depend on a livestock production system and follow their herds as they move, remain marginalized from rural development plans and interventions. The fact that mobile people are hard to reach and stay in contact with is a plausible reason why they are underrepresented in national censuses and/or alternative sequential sample survey systems. We present a proof-of-concept of monitoring highly mobile, pastoral people by recording demographic and health-related data from 933 women and 2020 children and establishing a biometric identification system (BIS) based on the registration and identification of digital fingerprints. Although only 22 women, representing 2.4% of the total registered women, were encountered twice in the four survey rounds, the approach implemented is shown to be feasible. The BIS described here is linked to a geographical information system to facilitate the creation of the first health and demographic surveillance system in a mobile, pastoralist setting. Our ultimate goal is to implement and monitor interventions with the "one health" concept, thus integrating and improving human, animal and ecosystem health.

Web platform using digital image processing and geographic information system tools: a Brazilian case study on dengue.

Science.gov (United States)

Brasil, Lourdes M; Gomes, Marília M F; Miosso, Cristiano J; da Silva, Marlete M; Amvame-Nze, Georges D

2015-07-16

Dengue fever is endemic in Asia, the Americas, the East of the Mediterranean and the Western Pacific. According to the World Health Organization, it is one of the diseases of greatest impact on health, affecting millions of people each year worldwide. A fast detection of increases in populations of the transmitting vector, the Aedes aegypti mosquito, is essential to avoid dengue outbreaks. Unfortunately, in several countries, such as Brazil, the current methods for detecting populations changes and disseminating this information are too slow to allow efficient allocation of resources to fight outbreaks. To reduce the delay in providing the information regarding A. aegypti population changes, we propose, develop, and evaluate a system for counting the eggs found in special traps and to provide the collected data using a web structure with geographical location resources. One of the most useful tools for the detection and surveillance of arthropods is the ovitrap, a special trap built to collect the mosquito eggs. This allows for an egg counting process, which is still usually performed manually, in countries such as Brazil. We implement and evaluate a novel system for automatically counting the eggs found in the ovitraps' cardboards. The system we propose is based on digital image processing (DIP) techniques, as well as a Web based Semi-Automatic Counting System (SCSA-WEB). All data collected are geographically referenced in a geographic information system (GIS) and made available on a Web platform. The work was developed in Gama's administrative region, in Brasília/Brazil, with the aid of the Environmental Surveillance Directory (DIVAL-Gama) and Brasília's Board of Health (SSDF), in partnership with the University of Brasília (UnB). The system was built based on a field survey carried out during three months and provided by health professionals. These professionals provided 84 cardboards from 84 ovitraps, sized 15 × 5 cm. In developing the system, we conducted

The contribution of area-level walkability to geographic variation in physical activity: a spatial analysis of 95,837 participants from the 45 and Up Study living in Sydney, Australia.

Science.gov (United States)

Mayne, Darren J; Morgan, Geoffrey G; Jalaludin, Bin B; Bauman, Adrian E

2017-10-03

Individual-level studies support a positive relation between walkable built environments and participation in moderate-intensity walking. However, the utility of this evidence for population-level planning is less clear as it is derived at much finer spatial scales than those used for regional programming. The aims of this study were to: evaluate if individual-level relations between walkability and walking to improve health manifest at population-level spatial scales; assess the specificity of area-level walkability for walking relative to other moderate and vigorous physical activity (MVPA); describe geographic variation in walking and other MVPA; and quantify the contribution of walkability to this variation. Data on sufficient walking, sufficient MVPA, and high MVPA to improve health were analyzed for 95,837 Sydney respondents to the baseline survey of the 45 and Up Study between January 2006 and April 2010. We used conditional autoregressive models to create smoothed MVPA "disease maps" and assess relations between sufficient MVPA to improve health and area-level walkability adjusted for individual-level demographic, socioeconomic, and health factors, and area-level relative socioeconomic disadvantage. Within-cohort prevalence of meeting recommendations for sufficient walking, sufficient MVPA, and high MVPA were 31.7 (95% CI 31.4-32.0), 69.4 (95% CI 69.1-69.7), and 56.1 (95% CI 55.8-56.4) percent. Prevalence of sufficient walking was increased by 1.20 (95% CrI 1.12-1.29) and 1.07 (95% CrI 1.01-1.13) for high and medium-high versus low walkability postal areas, and for sufficient MVPA by 1.05 (95% CrI 1.01-1.08) for high versus low walkability postal areas. Walkability was not related to high MVPA. Postal area walkability explained 65.8 and 47.4 percent of residual geographic variation in sufficient walking and sufficient MVPA not attributable to individual-level factors. Walkability is associated with area-level prevalence and geographic variation in

Geographical information systems

DEFF Research Database (Denmark)

Möller, Bernd

2004-01-01

The chapter gives an introduction to Geographical Information Systems (GIS) with particular focus on their application within environmental management.......The chapter gives an introduction to Geographical Information Systems (GIS) with particular focus on their application within environmental management....

Use of Geographic Information Systems for Planning HIV Prevention Interventions for High-Risk Youths

Science.gov (United States)

Geanuracos, Catherine G.; Cunningham, Shayna D.; Weiss, George; Forte, Draco; Henry Reid, Lisa M.; Ellen, Jonathan M.

2007-01-01

Geographic information system (GIS) analysis is an emerging tool for public health intervention planning. Connect to Protect, a researcher–community collaboration working in 15 cities to reduce HIV infection among youths, developed GIS databases of local health, crime, and demographic data to evaluate the geographic epidemiology of sexually transmitted infections and HIV risk among adolescents. We describe the process and problems of data acquisition, analysis, and mapping in the development of structural interventions, demonstrating how program planners can use this technology to inform and improve planning decisions. The Connect to Protect project’s experience suggests strategies for incorporating public data and GIS technology into the next generation of public health interventions. PMID:17901452

A Study of Air Quality and its Effect on Health: A Geographical Perspective of Lucknow city

Directory of Open Access Journals (Sweden)

Dipak Prasad

2016-06-01

Full Text Available Erudite groups of people, scientists, planners, and policy-makers of different countries have come to realise that quality of environment is not necessarily a simple function of nature as in primitive earth. Today nature’s self-regulatory functions are inoperative. All the developed and developing countries are deeply concerned to make balance between their environmental anxiety and their economic development. Dreadful environmental conditions are affecting the biological segment of the ecosystem of these areas. Human being, ‘one of the most precious component in biosphere’, have regular predicament situation with accretion of sullied air, water, and soil degradation. Though water and land pollution is extremely dangerous, air pollution has its own peculiarities, due to its trans-boundary dispersion of pollutants over the entire world. The effect of air pollution on health is very complex as there are many different sources and their individual effect varying from one to other. It is not only the ambient air quality in the cities but also the indoor air quality in the rural and urban areas that are causing concern. The study is confined with the health impact of deteriorating air quality in Lucknow city. The aim of the present study is also to determine the consequences of ambient air quality on health of the people in the study area.

Spatial point pattern analysis of human settlements and geographical associations in eastern coastal China - a case study.

Science.gov (United States)

Zhang, Zhonghao; Xiao, Rui; Shortridge, Ashton; Wu, Jiaping

2014-03-10

Understanding the spatial point pattern of human settlements and their geographical associations are important for understanding the drivers of land use and land cover change and the relationship between environmental and ecological processes on one hand and cultures and lifestyles on the other. In this study, a Geographic Information System (GIS) approach, Ripley's K function and Monte Carlo simulation were used to investigate human settlement point patterns. Remotely sensed tools and regression models were employed to identify the effects of geographical determinants on settlement locations in the Wen-Tai region of eastern coastal China. Results indicated that human settlements displayed regular-random-cluster patterns from small to big scale. Most settlements located on the coastal plain presented either regular or random patterns, while those in hilly areas exhibited a clustered pattern. Moreover, clustered settlements were preferentially located at higher elevations with steeper slopes and south facing aspects than random or regular settlements. Regression showed that influences of topographic factors (elevation, slope and aspect) on settlement locations were stronger across hilly regions. This study demonstrated a new approach to analyzing the spatial patterns of human settlements from a wide geographical prospective. We argue that the spatial point patterns of settlements, in addition to the characteristics of human settlements, such as area, density and shape, should be taken into consideration in the future, and land planners and decision makers should pay more attention to city planning and management. Conceptual and methodological bridges linking settlement patterns to regional and site-specific geographical characteristics will be a key to human settlement studies and planning.

A large cross-sectional study of health attitudes, knowledge, behaviour and risks in the post-war Croatian population (the First Croatian Health Project).

Science.gov (United States)

Turek, S; Rudan, I; Smolej-Narancić, N; Szirovicza, L; Cubrilo-Turek, M; Zerjavić-Hrabak, V; Rak-Kaić, A; Vrhovski-Hebrang, D; Prebeg, Z; Ljubicić, M; Janićijević, B; Rudan, P

2001-06-01

As the liberation of occupied Croatian territories ended the war in the country in 1995, the Ministry of Health and Croatian Health Insurance Institute have agreed to create the new framework for developing a long-term strategy of public health planning, prevention and intervention. They provided financial resources to develop the First Croatian Health Project, the rest of the support coming from the World Bank loan and the National Institute of Public Health. A large cross-sectional study was designed aiming to assess health attitudes, knowledge, behaviour and risks in the post-war Croatian population. The large field study was carried out by the Institute for Anthropological Research with technical support from the National Institute of Public Health. The field study was completed between 1995-1997. It included about 10,000 adult volunteers from all 21 Croatian counties. The geographic distribution of the sample covered both coastal and continental areas of Croatia and included rural and urban environments. The specific measurements included antropometry (body mass index and blood pressure). From each examinee a blood sample was collected from which the levels of total plasma cholesterol (TC), triglycerides (TG), HDL-cholesterol (High Density Lipoprotein), LDL-cholesterol (Low Density Lipoprotein), lipoprotein Lp(a), and haemostatic risk factor fibrinogen (F) were determined. The detailed data were collected on the general knowledge and attitudes on health issues, followed by specific investigation of smoking history, alcohol consumption, nutrition habits, physical activity, family history of chronic non-communicable diseases and occupational exposures. From the initial database a targeted sample of 5,840 persons of both sexes, aged 18-65, was created corresponding by age, sex and geographic distribution to the general Croatian population. This paper summarises and discusses the main findings of the project within this representative sample of Croatian population.

Association Between Geographic Elevation, Bone Status, and Exercise Habits: The Shimane CoHRE Study.

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Takeda, Miwako; Hamano, Tsuyoshi; Kohno, Kunie; Yano, Shozo; Shiwaku, Kuninori; Nabika, Toru

2015-06-30

In recent years, there has been growing interest in the association between the residential environment and health. The association between residential environment (i.e., geographic elevation) and bone status is unknown. Furthermore, these associations could differ by exercise habits due to the chronically greater daily activity caused by steep slopes in mountainous areas. The aim of this study was to test whether the association between bone status of elderly people measured using quantitative ultrasound (QUS) and elevation varied according to the exercise habits in a mountainous area population. Data were collected from a cross-sectional study conducted during 2012-2013. QUS value was expressed as a proportion of the young adult mean (%YAM), with higher scores donating better bone status. After excluding subjects with missing data, we analyzed the data for 321 men and 500 women. Our results indicate that %YAM was not associated with elevation among men, or among women with exercise habits. However, elevation was associated with %YAM among women without exercise habits. Our results highlight the importance of considering residential environment and exercise habits when establishing promotion strategies to maintain bone status of the elderly people who live in rural mountainous areas.

Association Between Geographic Elevation, Bone Status, and Exercise Habits: The Shimane CoHRE Study

Directory of Open Access Journals (Sweden)

Miwako Takeda

2015-06-01

Full Text Available In recent years, there has been growing interest in the association between the residential environment and health. The association between residential environment (i.e., geographic elevation and bone status is unknown. Furthermore, these associations could differ by exercise habits due to the chronically greater daily activity caused by steep slopes in mountainous areas. The aim of this study was to test whether the association between bone status of elderly people measured using quantitative ultrasound (QUS and elevation varied according to the exercise habits in a mountainous area population. Data were collected from a cross-sectional study conducted during 2012–2013. QUS value was expressed as a proportion of the young adult mean (%YAM, with higher scores donating better bone status. After excluding subjects with missing data, we analyzed the data for 321 men and 500 women. Our results indicate that %YAM was not associated with elevation among men, or among women with exercise habits. However, elevation was associated with %YAM among women without exercise habits. Our results highlight the importance of considering residential environment and exercise habits when establishing promotion strategies to maintain bone status of the elderly people who live in rural mountainous areas.

Development Trends of Cartography and Geographic Information Engineering

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WANG Jiayao

2010-04-01

Full Text Available Aimed at the problems of cartography and geographic information engineering and increasing demands of national and military infomationization construction, the paper proposes six hotspots on the research of cartography and geographic information engineering for the future on the foundation of analyzing the development track of cartology, which are heterogeneous geospatial data assimilation, transferring from emphasizing geography infor-mation gaining to user-oriented geographic information deep processing, web or grid geographic information service. intelligent spatial data generalization. integration of GIS and VGE. cartography and geographic information engineering theory system with multi-mode(Map,.GlS..VGE spatial-temporal integrated cognition as the core. And discusses the necessity ,existing groundwork and research contents on studying these hotspots.

Geographic variation in fee-for-service medicare beneficiaries' medical costs is largely explained by disease burden.

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Reschovsky, James D; Hadley, Jack; Romano, Patrick S

2013-10-01

Control for area differences in population health (casemix adjustment) is necessary to measure geographic variations in medical spending. Studies use various casemix adjustment methods, resulting in very different geographic variation estimates. We study casemix adjustment methodological issues and evaluate alternative approaches using claims from 1.6 million Medicare beneficiaries in 60 representative communities. Two key casemix adjustment methods-controlling for patient conditions obtained from diagnoses on claims and expenditures of those at the end of life-were evaluated. We failed to find evidence of bias in the former approach attributable to area differences in physician diagnostic patterns, as others have found, and found that the assumption underpinning the latter approach-that persons close to death are equally sick across areas-cannot be supported. Diagnosis-based approaches are more appropriate when current rather than prior year diagnoses are used. Population health likely explains more than 75% to 85% of cost variations across fixed sets of areas.

Mapping the residual incidence of taeniasis and cysticercosis in Colombia, 2009-2013, using geographical information systems: Implications for public health and travel medicine.

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Rodríguez-Morales, Alfonso J; Yepes-Echeverri, María Camila; Acevedo-Mendoza, Wilmer F; Marín-Rincón, Hamilton A; Culquichicón, Carlos; Parra-Valencia, Esteban; Cardona-Ospina, Jaime A; Flisser, Ana

In Colombia, taeniasis and cysticercosis have been significantly reduced over the past decades, however still reported with implications for public health and travel medicine. An observational, retrospective study, in which the incidence of taeniasis and cysticercosis (ICD-10 codes B68s/B69s) in Colombia, 2009-2013, was estimated based on data extracted from the Individual Health Records System (Registro Individual de Prestación de Servicios, RIPS) was performed. The Geographic Information System (GIS) generated national maps showing the distribution of taeniasis and cysticercosis by department by year. During the period, 3626 cases were reported (median 796/year), for a cumulative crude national rate of 7.7 cases/100,000pop; 58.2% corresponded to male; 57% were taeniasis due to T. solium, T. saginata, ocular cysticercosis and cysticerci in other organs. Bolivar, a touristic department, had the highest cumulated incidence rate (16.17 cases/100,000pop), as also evident across the map series developed in this study. Despite the limitations of this study, data presented provide recent estimates of national taeniasis and cysticercosis incidence in the country useful in public health and for travel medicine practitioners, as some highly touristic areas presented higher disease incidence. Improved control, particularly of taeniasis, should be an attainable goal, which among other strategies would require improved sanitation and health education to prevent transmission, but also enhanced surveillance. Copyright © 2017 Elsevier Ltd. All rights reserved.

Access to emergency care services: a transversal ecological study about Brazilian emergency health care network.

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Rocha, T A H; da Silva, N C; Amaral, P V; Barbosa, A C Q; Rocha, J V M; Alvares, V; de Almeida, D G; Thumé, E; Thomaz, E B A F; de Sousa Queiroz, R C; de Souza, M R; Lein, A; Toomey, N; Staton, C A; Vissoci, J R N; Facchini, L A

2017-12-01

Studies of health geography are important in the planning and allocation of emergency health services. The geographical distribution of health facilities is an important factor in timely and quality access to emergency services; therefore, the present study analyzed the emergency health care network in Brazil, focusing the analysis at the roles of small hospitals (SHs). Cross-sectional ecological study. Data were collected from 9429 hospitals of which 3524 were SHs and 5905 were high-complexity centers (HCCs). For analytical purposes, we considered four specialties when examining the proxies of emergency care capability: adult, pediatrics, neonatal, and obstetric. We analyzed the spatial distribution of hospitals, identifying municipalities that rely exclusively on SHs and the distance of these cities from HCCs. More than 14 and 30 million people were at least 120 km away from HCCs with an adult intensive care unit (ICU) and pediatric ICU, respectively. For neonatal care distribution, 12% of the population was more than 120 km away from a health facility with a neonatal ICU. The maternities situation is different from other specialties, where 81% of the total Brazilian population was within 1 h or less from such health facilities. Our results highlighted a polarization in distribution of Brazilian health care facilities. There is a concentration of hospitals in urban areas more developed and access gaps in rural areas and the Amazon region. Our results demonstrate that the distribution of emergency services in Brazil is not facilitating access to the population due to geographical barriers associated with great distances. Copyright © 2017 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Geographic Ontologies, Gazetteers and Multilingualism

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Robert Laurini

2015-01-01

Full Text Available Different languages imply different visions of space, so that terminologies are different in geographic ontologies. In addition to their geometric shapes, geographic features have names, sometimes different in diverse languages. In addition, the role of gazetteers, as dictionaries of place names (toponyms, is to maintain relations between place names and location. The scope of geographic information retrieval is to search for geographic information not against a database, but against the whole Internet: but the Internet stores information in different languages, and it is of paramount importance not to remain stuck to a unique language. In this paper, our first step is to clarify the links between geographic objects as computer representations of geographic features, ontologies and gazetteers designed in various languages. Then, we propose some inference rules for matching not only types, but also relations in geographic ontologies with the assistance of gazetteers.

Demographic and health surveillance of mobile pastoralists in Chad: integration of biometric fingerprint identification into a geographical information system

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Daniel Weibel

2008-11-01

Full Text Available There is a pressing need for baseline demographic and health-related data to plan, implement and evaluate health interventions in developing countries, and to monitor progress towards international development goals. However, mobile pastoralists, i.e. people who depend on a livestock production system and follow their herds as they move, remain marginalized from rural development plans and interventions. The fact that mobile people are hard to reach and stay in contact with is a plausible reason why they are underrepresented in national censuses and/or alternative sequential sample survey systems. We present a proof-of-concept of monitoring highly mobile, pastoral people by recording demographic and health-related data from 933 women and 2020 children and establishing a biometric identification system (BIS based on the registration and identification of digital fingerprints. Although only 22 women, representing 2.4% of the total registered women, were encountered twice in the four survey rounds, the approach implemented is shown to be feasible. The BIS described here is linked to a geographical information system to facilitate the creation of the first health and demographic surveillance system in a mobile, pastoralist setting. Our ultimate goal is to implement and monitor interventions with the “one health” concept, thus integrating and improving human, animal and ecosystem health.

Addressing geographic access barriers to emergency care services: a national ecologic study of hospitals in Brazil

OpenAIRE

Rocha, Thiago Augusto Hernandes; da Silva, N?bia Cristina; Amaral, Pedro Vasconcelos; Barbosa, Allan Claudius Queiroz; Rocha, Jo?o Victor Muniz; Alvares, Viviane; de Almeida, Dante Grapiuna; Thum?, Elaine; Thomaz, Erika B?rbara Abreu Fonseca; de Sousa Queiroz, Rejane Christine; de Souza, Marta Rovery; Lein, Adriana; Lopes, Daniel Paulino; Staton, Catherine A.; Vissoci, Jo?o Ricardo Nickenig

2017-01-01

Background Unequal distribution of emergency care services is a critical barrier to be overcome to assure access to emergency and surgical care. Considering this context it was objective of the present work analyze geographic access barriers to emergency care services in Brazil. A secondary aim of the study is to define possible roles to be assumed by small hospitals in the Brazilian healthcare network to overcome geographic access challenges. Methods The present work can be classified as a c...

Geographical data structures supporting regional analysis

International Nuclear Information System (INIS)

Edwards, R.G.; Durfee, R.C.

1978-01-01

In recent years the computer has become a valuable aid in solving regional environmental problems. Over a hundred different geographic information systems have been developed to digitize, store, analyze, and display spatially distributed data. One important aspect of these systems is the data structure (e.g. grids, polygons, segments) used to model the environment being studied. This paper presents eight common geographic data structures and their use in studies of coal resources, power plant siting, population distributions, LANDSAT imagery analysis, and landuse analysis

Health behaviours of young, rural residents: a case study.

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Bourke, Lisa; Humphreys, John; Lukaitis, Fiona

2009-04-01

To analyse self-reported health behaviours of young people from a rural community and the factors influencing their behaviours. Interviews were conducted with 19 young people, 11 parents and 10 key informants from a small rural Victorian community, asking about teenage health behaviours and the factors influencing these behaviours. Young people ate both healthy and unhealthy foods, most participated in physical activity, few smoked and most drank alcohol. The study found that community level factors, including community norms, peers, access issues and geographic isolation, were particularly powerful in shaping health behaviours, especially alcohol consumption. Smoking was influenced by social participation in the community and national media health campaigns. Diet and exercise behaviour were influenced by access and availability, convenience, family, peers and local and non-local cultural influences. The rural context, including less access to and choice of facilities and services, lower incomes, lack of transport and local social patterns (including community norms and acceptance), impact significantly on young people's health behaviours. Although national health promotion campaigns are useful aspects of behaviour modification, much greater focus on the role and importance of the local contexts in shaping health decisions of young rural people is required.

Not just pretty pictures: Geographical Information Systems in TB ...

African Journals Online (AJOL)

Geographical Information Systems (GIS) is becoming a useful tool in disease control by health planners. However little is known about its potential in tuberculosis (TB) control. In 2000 the National TB Programme (NTP) in Malawi assessed its usefulness. Routinely collected case-finding data from the 3 previous years (1997 ...

Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China.

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Li, Zeng; Fu, Jingying; Jiang, Dong; Lin, Gang; Dong, Donglin; Yan, Xiaoxi

2017-11-21

Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR) is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving child health issues, since they often play an important role in the survival environment. This study was undertaken to investigate the relationship between the U5MR, geographic, and socioeconomic factors, and to explore the associated spatial variance of the relationship in China using the geographically weighted regression (GWR) model. The results indicate that the space pattern of a high U5MR had been narrowed notably during the period from 2001 to 2010. Nighttime lights (NL) and the digital elevation model (DEM) both have obvious influences on the U5MR, with the NL having a negative impact and DEM having a positive impact. Additionally, the relationship between the NL and DEM varied over space in China. Moreover, the relevance between U5MR and DEM was narrowed in 2010 compared to 2001, which indicates that the development of economic and medical standards can overcome geographical limits.

Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China

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Zeng Li

2017-11-01

Full Text Available Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving child health issues, since they often play an important role in the survival environment. This study was undertaken to investigate the relationship between the U5MR, geographic, and socioeconomic factors, and to explore the associated spatial variance of the relationship in China using the geographically weighted regression (GWR model. The results indicate that the space pattern of a high U5MR had been narrowed notably during the period from 2001 to 2010. Nighttime lights (NL and the digital elevation model (DEM both have obvious influences on the U5MR, with the NL having a negative impact and DEM having a positive impact. Additionally, the relationship between the NL and DEM varied over space in China. Moreover, the relevance between U5MR and DEM was narrowed in 2010 compared to 2001, which indicates that the development of economic and medical standards can overcome geographical limits.

Evaluation on equality and efficiency of health resources allocation and health services utilization in China.

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Sun, Jian; Luo, Hongye

2017-07-14

China is faced with a daunting challenge to equality and efficiency in health resources allocation and health services utilization in the context of rapid economic growth. This study sought to evaluate the equality and efficiency of health resources allocation and health services utilization in China. Demographic, economic, and geographic area data was sourced from China Statistical Yearbook 2012-2016. Data related to health resources and health services was obtained from China Health Statistics Yearbook 2012-2016. Furthermore, we evaluated the equality of health resources allocation based on Gini coefficient. Concentration index was used to measure the equality in utilization of health services. Data envelopment analysis (DEA) was employed to assess the efficiency of health resources allocation. From 2011 to 2015, the Gini coefficients for health resources by population ranged between 0.0644 and 0.1879, while the Gini coefficients for the resources by geographic area ranged from 0.6136 to 0.6568. Meanwhile, the concentration index values for health services utilization ranged from -0.0392 to 0.2110. Moreover, in 2015, 10 provinces (32.26%) were relatively efficient in terms of health resources allocation, while 7 provinces (22.58%) and 14 provinces (45.16%) were weakly efficient and inefficient, respectively. There exist distinct regional disparities in the distribution of health resources in China, which are mainly reflected in the geographic distribution of health resources. Furthermore, the people living in the eastern developed areas are more likely to use outpatient care, while the people living in western underdeveloped areas are more likely to use inpatient care. Moreover, the efficiency of health resources allocation in 21 provinces (67.74%) of China was low and needs to be improved. Thus, the government should pay more attention to the equality based on geographic area, guide patients to choose medical treatment rationally, and optimize the resource

Geographic variation in the age- and gender-specific prevalence and incidence of epilepsy: analysis of Taiwanese National Health Insurance-based data.

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Chen, Chih-Chuan; Chen, Li-Sheng; Yen, Ming-Fang; Chen, Hsiu-Hsi; Liou, Horng-Huei

2012-02-01

We studied geographic variation in age- and gender-specific prevalence and incidence of epilepsy in four different areas of Taiwan. By using large-scale, National Health Insurance (NHI)-based data from 2000-2003 in Taiwan, we identified 131,287 patients diagnosed with epilepsy (ICD code 345) receiving at least of one of 11 antiepileptic drugs (AEDs). Information on age, gender, and location were also collected. The multivariable Poisson regression analysis was used to assess the heterogeneity of the morbidity of epilepsy in different regions. External data validation was also performed to assess the accuracy of capturing epilepsy cases through our NHI data set. The age-adjusted prevalence and incidence of epilepsy were 5.85 (per 1,000) between 2000 and 2003 and 97 (per 100,000 person-years) during the follow-up time from 2001 to 2003 in Taiwan. The sensitivity and specificity of ICD-9 coding for epilepsy in the NHI data set were 83.91% and 99.83%, respectively, resulting in a slight overestimation. Male patients had a higher probability of having epilepsy than did females. East Taiwan had significantly higher prevalence and incidence than did other areas. The age-specific incidence pattern in east Taiwan was atypical in that it revealed clustering in young and middle-aged groups. Our study demonstrated geographic variation in epidemiologic patterns of epilepsy within Taiwan. The findings are informative and provide insight into the clinical management of epilepsy based on consideration of different target groups in different areas. Wiley Periodicals, Inc. © 2011 International League Against Epilepsy.

Geographic distribution of need and access to health care in rural population: an ecological study in Iran

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Najafi Behzad

2011-09-01

Full Text Available Abstract Introduction Equity in access to and utilization of health services is a common goal of policy-makers in most countries. The current study aimed to evaluate the distribution of need and access to health care services among Iran's rural population between 2006 and 2009. Methods Census data on population's characteristics in each province were obtained from the Statistical Centre of Iran and National Organization for civil registration. Data about the Rural Health Houses (RHHs were obtained from the Ministry of Health. The Health Houses-to-rural population ratio (RHP, crude birth rate (CBR and crude mortality rate (CMR in rural population were calculated in order to compare their distribution among the provinces. Lorenz curves of RHHs, CMR and CBR were plotted and their decile ratio, Gini Index and Index of Dissimilarity were calculated. Moreover, Spearman rank-order correlation was used to examine the relation between RHHs and CMR and CBR. Results There were substantial differences in RHHs, CMR and CBR across the provinces. CMR and CBR experienced changes toward more equal distributions between 2006 and 2009, while inverse trend was seen for RHHs. Excluding three provinces with markedly changes in data between 2006 and 2009 as outliers, did not change observed trends. Moreover; there was a significant positive relationship between CMR and RHP in 2009 and a significant negative association between CBR and RHP in 2006 and 2009. When three provinces with outliers were excluded, these significant associations were disappeared. Conclusion Results showed that there were significant variations in the distribution of RHHs, CMR and CBR across the country. Moreover, the distribution of RHHs did not reflect the needs for health care in terms of CMR and CBR in the study period.

Environmental statistical modelling of mosquito vectors at different geographical scales

NARCIS (Netherlands)

Cianci, D.

2015-01-01

Vector-borne diseases are infections transmitted by the bite of infected arthropod vectors, such as mosquitoes, ticks, fleas, midges and flies. Vector-borne diseases pose an increasingly wider threat to global public health, both in terms of people affected and their geographical spread. Mosquitoes

Mountain names in the geographical dictionary of Camagüey Province, environmental studies, and environmental education

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Alfonso, L. F.

2014-01-01

Full Text Available The research contributes to the project intended to provide the province of Camagüey with a geographical dictionary, a reference book for economic entities and academic institutions. The article is aimed at standardizing the use of geographical names in education and scientific research in Camagüey. Several methods of geographical research were used, cartographic methods, observing geographic objects in place and field research included. The findings were assessed by means of consulting experts on the topic and computer data processing. The methodology employed follows the guidelines of the national group of advisors for geographical names and the group of advisor of Camagüey province. The most widely used geographical names in the regions were listed in the dictionary.

Geographical patterns of the standing and active human gut microbiome in health and IBD.

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Rehman, Ateequr; Rausch, Philipp; Wang, Jun; Skieceviciene, Jurgita; Kiudelis, Gediminas; Bhagalia, Ketan; Amarapurkar, Deepak; Kupcinskas, Limas; Schreiber, Stefan; Rosenstiel, Philip; Baines, John F; Ott, Stephan

2016-02-01

A global increase of IBD has been reported, especially in countries that previously had low incidence rates. Also, the knowledge of the human gut microbiome is steadily increasing, however, limited information regarding its variation on a global scale is available. In the light of the microbial involvement in IBDs, we aimed to (1) identify shared and distinct IBD-associated mucosal microbiota patterns from different geographical regions including Europe (Germany, Lithuania) and South Asia (India) and (2) determine whether profiling based on 16S rRNA transcripts provides additional resolution, both of which may hold important clinical relevance. In this study, we analyse a set of 89 mucosal biopsies sampled from individuals of German, Lithuanian and Indian origins, using bacterial community profiling of a roughly equal number of healthy controls, patients with Crohn's disease and UC from each location, and analyse 16S rDNA and rRNA as proxies for standing and active microbial community structure, respectively. We find pronounced population-specific as well as general disease patterns in the major phyla and patterns of diversity, which differ between the standing and active communities. The geographical origin of samples dominates the patterns of β diversity with locally restricted disease clusters and more pronounced effects in the active microbial communities. However, two genera belonging to the Clostridium leptum subgroup, Faecalibacteria and Papillibacter, display consistent patterns with respect to disease status and may thus serve as reliable 'microbiomarkers'. These analyses reveal important interactions of patients' geographical origin and disease in the interpretation of disease-associated changes in microbial communities and highlight the added value of analysing communities on both the 16S rRNA gene (DNA) and transcript (RNA) level. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go

Mental health in the slums of Dhaka - a geoepidemiological study

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Gruebner Oliver

2012-03-01

Full Text Available Abstract Background Urban health is of global concern because the majority of the world's population lives in urban areas. Although mental health problems (e.g. depression in developing countries are highly prevalent, such issues are not yet adequately addressed in the rapidly urbanising megacities of these countries, where a growing number of residents live in slums. Little is known about the spectrum of mental well-being in urban slums and only poor knowledge exists on health promotive socio-physical environments in these areas. Using a geo-epidemiological approach, the present study identified factors that contribute to the mental well-being in the slums of Dhaka, which currently accommodates an estimated population of more than 14 million, including 3.4 million slum dwellers. Methods The baseline data of a cohort study conducted in early 2009 in nine slums of Dhaka were used. Data were collected from 1,938 adults (≥ 15 years. All respondents were geographically marked based on their households using global positioning systems (GPS. Very high-resolution land cover information was processed in a Geographic Information System (GIS to obtain additional exposure information. We used a factor analysis to reduce the socio-physical explanatory variables to a fewer set of uncorrelated linear combinations of variables. We then regressed these factors on the WHO-5 Well-being Index that was used as a proxy for self-rated mental well-being. Results Mental well-being was significantly associated with various factors such as selected features of the natural environment, flood risk, sanitation, housing quality, sufficiency and durability. We further identified associations with population density, job satisfaction, and income generation while controlling for individual factors such as age, gender, and diseases. Conclusions Factors determining mental well-being were related to the socio-physical environment and individual level characteristics. Given that

Geographic inequalities in all-cause mortality in Japan: compositional or contextual?

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Etsuji Suzuki

Full Text Available A recent study from Japan suggested that geographic inequalities in all-cause premature adult mortality have increased since 1995 in both sexes even after adjusting for individual age and occupation in 47 prefectures. Such variations can arise from compositional effects as well as contextual effects. In this study, we sought to further examine the emerging geographic inequalities in all-cause mortality, by exploring the relative contribution of composition and context in each prefecture.We used the 2005 vital statistics and census data among those aged 25 or older. The total number of decedents was 524,785 men and 455,863 women. We estimated gender-specific two-level logistic regression to model mortality risk as a function of age, occupation, and residence in 47 prefectures. Prefecture-level variance was used as an estimate of geographic inequalities in mortality, and prefectures were ranked by odds ratios (ORs, with the reference being the grand mean of all prefectures (value = 1.Overall, the degree of geographic inequalities was more pronounced when we did not account for the composition (i.e., age and occupation in each prefecture. Even after adjusting for the composition, however, substantial differences remained in mortality risk across prefectures with ORs ranging from 0.870 (Okinawa to 1.190 (Aomori for men and from 0.864 (Shimane to 1.132 (Aichi for women. In some prefectures (e.g., Aomori, adjustment for composition showed little change in ORs, while we observed substantial attenuation in ORs in other prefectures (e.g., Akita. We also observed qualitative changes in some prefectures (e.g., Tokyo. No clear associations were observed between prefecture-level socioeconomic status variables and the risk of mortality in either sex.Geographic disparities in mortality across prefectures are quite substantial and cannot be fully explained by differences in population composition. The relative contribution of composition and context to health

Spatial Point Pattern Analysis of Human Settlements and Geographical Associations in Eastern Coastal China — A Case Study

Science.gov (United States)

Zhang, Zhonghao; Xiao, Rui; Shortridge, Ashton; Wu, Jiaping

2014-01-01

Understanding the spatial point pattern of human settlements and their geographical associations are important for understanding the drivers of land use and land cover change and the relationship between environmental and ecological processes on one hand and cultures and lifestyles on the other. In this study, a Geographic Information System (GIS) approach, Ripley’s K function and Monte Carlo simulation were used to investigate human settlement point patterns. Remotely sensed tools and regression models were employed to identify the effects of geographical determinants on settlement locations in the Wen-Tai region of eastern coastal China. Results indicated that human settlements displayed regular-random-cluster patterns from small to big scale. Most settlements located on the coastal plain presented either regular or random patterns, while those in hilly areas exhibited a clustered pattern. Moreover, clustered settlements were preferentially located at higher elevations with steeper slopes and south facing aspects than random or regular settlements. Regression showed that influences of topographic factors (elevation, slope and aspect) on settlement locations were stronger across hilly regions. This study demonstrated a new approach to analyzing the spatial patterns of human settlements from a wide geographical prospective. We argue that the spatial point patterns of settlements, in addition to the characteristics of human settlements, such as area, density and shape, should be taken into consideration in the future, and land planners and decision makers should pay more attention to city planning and management. Conceptual and methodological bridges linking settlement patterns to regional and site-specific geographical characteristics will be a key to human settlement studies and planning. PMID:24619117

Mapping the residual incidence of taeniasis and cysticercosis in Colombia, 2009–2013, using geographical information systems: Implications for public health and travel medicine☆

Science.gov (United States)

Rodríguez-Morales, Alfonso J.; Yepes-Echeverri, María Camila; Acevedo-Mendoza, Wilmer F.; Marín-Rincón, Hamilton A.; Culquichicón, Carlos; Parra-Valencia, Esteban; Cardona-Ospina, Jaime A.; Flisser, Ana

2018-01-01

Background In Colombia, taeniasis and cysticercosis have been significantly reduced over the past decades, however still reported with implications for public health and travel medicine. Methods An observational, retrospective study, in which the incidence of taeniasis and cysticercosis (ICD-10 codes B68s/B69s) in Colombia, 2009–2013, was estimated based on data extracted from the Individual Health Records System (Registro Individual de Prestación de Servicios, RIPS) was performed. The Geographic Information System (GIS) generated national maps showing the distribution of taeniasis and cysticercosis by department by year. Results During the period, 3626 cases were reported (median 796/year), for a cumulative crude national rate of 7.7 cases/100,000pop; 58.2% corresponded to male; 57% were taeniasis due to T. solium, T. saginata, ocular cysticercosis and cysticerci in other organs. Bolivar, a touristic department, had the highest cumulated incidence rate (16.17 cases/100,000pop), as also evident across the map series developed in this study. Conclusion Despite the limitations of this study, data presented provide recent estimates of national taeniasis and cysticercosis incidence in the country useful in public health and for travel medicine practitioners, as some highly touristic areas presented higher disease incidence. Improved control, particularly of taeniasis, should be an attainable goal, which among other strategies would require improved sanitation and health education to prevent transmission, but also enhanced surveillance. PMID:29288739

GEOGRAPHIC NAMES INFORMATION SYSTEM (GNIS) ...

Science.gov (United States)

The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names (BGN), contains information about physical and cultural geographic features in the United States and associated areas, both current and historical, but not including roads and highways. The database also contains geographic names in Antarctica. The database holds the Federally recognized name of each feature and defines the location of the feature by state, county, USGS topographic map, and geographic coordinates. Other feature attributes include names or spellings other than the official name, feature designations, feature class, historical and descriptive information, and for some categories of features the geometric boundaries. The database assigns a unique feature identifier, a random number, that is a key for accessing, integrating, or reconciling GNIS data with other data sets. The GNIS is our Nation's official repository of domestic geographic feature names information.

Using geographical information systems to explore disparities in preterm birth rates among foreign-born and U.S.-born Black mothers.

Science.gov (United States)

Bloch, Joan Rosen

2011-01-01

To examine spatial patterns of neighborhood contextual factors of stress with preterm birth (PTB) and nativity (foreign-born and U.S.-born) among Black mothers. Descriptive geographic-spatial research. Births to Philadelphia residents during 2003-2005 in the context of Philadelphia residential neighborhoods (N = 350) were studied. All data were aggregated to neighborhood levels (census tracts). Maps were created to assess geographic-spatial patterns. A geographic information system (GIS) database was created that imported geo-coded data on births, crime (assaults with guns and domestic abuse), poverty, race, and nativity (foreign-born vs. U.S.-born). Clear visual patterns of "bad" neighborhoods emerged and were significantly associated with higher prevalence of PTB for foreign-born Black and U.S.-born Black mothers (p < .0001). This study demonstrated how GIS visually clarified important spatial patterns of adverse living conditions and PTB prevalence. Nurses can use GIS to better understand living environments of mothers and their families and to target interventions in geographical areas with the greatest service needs. Further research on individual and contextual factors is warranted to address the observed health disparities among the heterogeneous groups of foreign-born Black mothers. Despite limitations of aggregate data, it is clear that where mothers live matters. This has important implications for nursing practice and policy. © 2011 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.

Geographic Disparities in Access to Agencies Providing Income-Related Social Services.

Science.gov (United States)

Bauer, Scott R; Monuteaux, Michael C; Fleegler, Eric W

2015-10-01

Geographic location is an important factor in understanding disparities in access to health-care and social services. The objective of this cross-sectional study is to evaluate disparities in the geographic distribution of income-related social service agencies relative to populations in need within Boston. Agency locations were obtained from a comprehensive database of social services in Boston. Geographic information systems mapped the spatial relationship of the agencies to the population using point density estimation and was compared to census population data. A multivariate logistic regression was conducted to evaluate factors associated with categories of income-related agency density. Median agency density within census block groups ranged from 0 to 8 agencies per square mile per 100 population below the federal poverty level (FPL). Thirty percent (n = 31,810) of persons living below the FPL have no access to income-related social services within 0.5 miles, and 77 % of persons living below FPL (n = 83,022) have access to 2 or fewer agencies. 27.0 % of Blacks, 30.1 % of Hispanics, and 41.0 % of non-Hispanic Whites with incomes below FPL have zero access. In conclusion, some neighborhoods in Boston with a high concentration of low-income populations have limited access to income-related social service agencies.

Using Geographic Information Systems (GIS) to understand a community's primary care needs.

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Dulin, Michael F; Ludden, Thomas M; Tapp, Hazel; Blackwell, Joshua; de Hernandez, Brisa Urquieta; Smith, Heather A; Furuseth, Owen J

2010-01-01

A key element for reducing health care costs and improving community health is increased access to primary care and preventative health services. Geographic information systems (GIS) have the potential to assess patterns of health care utilization and community-level attributes to identify geographic regions most in need of primary care access. GIS, analytical hierarchy process, and multiattribute assessment and evaluation techniques were used to examine attributes describing primary care need and identify areas that would benefit from increased access to primary care services. Attributes were identified by a collaborative partnership working within a practice-based research network using tenets of community-based participatory research. Maps were created based on socioeconomic status, population density, insurance status, and emergency department and primary care safety-net utilization. Individual and composite maps identified areas in our community with the greatest need for increased access to primary care services. Applying GIS to commonly available community- and patient-level data can rapidly identify areas most in need of increased access to primary care services. We have termed this a Multiple Attribute Primary Care Targeting Strategy. This model can be used to plan health services delivery as well as to target and evaluate interventions designed to improve health care access.

The medline UK filter: development and validation of a geographic search filter to retrieve research about the UK from OVID medline.

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Ayiku, Lynda; Levay, Paul; Hudson, Tom; Craven, Jenny; Barrett, Elizabeth; Finnegan, Amy; Adams, Rachel

2017-07-13

A validated geographic search filter for the retrieval of research about the United Kingdom (UK) from bibliographic databases had not previously been published. To develop and validate a geographic search filter to retrieve research about the UK from OVID medline with high recall and precision. Three gold standard sets of references were generated using the relative recall method. The sets contained references to studies about the UK which had informed National Institute for Health and Care Excellence (NICE) guidance. The first and second sets were used to develop and refine the medline UK filter. The third set was used to validate the filter. Recall, precision and number-needed-to-read (NNR) were calculated using a case study. The validated medline UK filter demonstrated 87.6% relative recall against the third gold standard set. In the case study, the medline UK filter demonstrated 100% recall, 11.4% precision and a NNR of nine. A validated geographic search filter to retrieve research about the UK with high recall and precision has been developed. The medline UK filter can be applied to systematic literature searches in OVID medline for topics with a UK focus. © 2017 Crown copyright. Health Information and Libraries Journal © 2017 Health Libraries GroupThis article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.

Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study.

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Schnall, Rebecca; Cho, Hwayoung; Liu, Jianfang

2018-01-05

Mobile technology has become a ubiquitous technology and can be particularly useful in the delivery of health interventions. This technology can allow us to deliver interventions to scale, cover broad geographic areas, and deliver technologies in highly tailored ways based on the preferences or characteristics of users. The broad use of mobile technologies supports the need for usability assessments of these tools. Although there have been a number of usability assessment instruments developed, none have been validated for use with mobile technologies. The goal of this work was to validate the Health Information Technology Usability Evaluation Scale (Health-ITUES), a customizable usability assessment instrument in a sample of community-dwelling adults who were testing the use of a new mobile health (mHealth) technology. A sample of 92 community-dwelling adults living with HIV used a new mobile app for symptom self-management and completed the Health-ITUES to assess the usability of the app. They also completed the Post-Study System Usability Questionnaire (PSSUQ), a widely used and well-validated usability assessment tool. Correlations between these scales and each of the subscales were assessed. The subscales of the Health-ITUES showed high internal consistency reliability (Cronbach alpha=.85-.92). Each of the Health-ITUES subscales and the overall scale was moderately to strongly correlated with the PSSUQ scales (r=.46-.70), demonstrating the criterion validity of the Health-ITUES. The Health-ITUES has demonstrated reliability and validity for use in assessing the usability of mHealth technologies in community-dwelling adults living with a chronic illness. ©Rebecca Schnall, Hwayoung Cho, Jianfang Liu. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 05.01.2018.

Salmonella infections modelling in Mississippi using neural network and geographical information system (GIS).

Science.gov (United States)

Akil, Luma; Ahmad, H Anwar

2016-03-03

Mississippi (MS) is one of the southern states with high rates of foodborne infections. The objectives of this paper are to determine the extent of Salmonella and Escherichia coli infections in MS, and determine the Salmonella infections correlation with socioeconomic status using geographical information system (GIS) and neural network models. In this study, the relevant updated data of foodborne illness for southern states, from 2002 to 2011, were collected and used in the GIS and neural networks models. Data were collected from the Centers for Disease Control and Prevention (CDC), MS state Department of Health and the other states department of health. The correlation between low socioeconomic status and Salmonella infections were determined using models created by several software packages, including SAS, ArcGIS @RISK and NeuroShell. Results of this study showed a significant increase in Salmonella outbreaks in MS during the study period, with highest rates in 2011 (47.84 ± 24.41 cases/100,000; pGIS maps of Salmonella outbreaks in MS in 2010 and 2011 showed the districts with higher rates of Salmonella. Regression analysis and neural network models showed a moderate correlation between cases of Salmonella infections and low socioeconomic factors. Poverty was shown to have a negative correlation with Salmonella outbreaks (R(2)=0.152, p<0.05). Geographic location besides socioeconomic status may contribute to the high rates of Salmonella outbreaks in MS. Understanding the geographical and economic relationship with infectious diseases will help to determine effective methods to reduce outbreaks within low socioeconomic status communities. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Socioeconomic status and geographical factors associated with active listing in primary care: a cross-sectional population study accounting for multimorbidity, age, sex and primary care.

Science.gov (United States)

Ranstad, Karin; Midlöv, Patrik; Halling, Anders

2017-06-09

Socioeconomic status and geographical factors are associated with health and use of healthcare. Well-performing primary care contributes to better health and more adequate healthcare. In a primary care system based on patient's choice of practice, this choice (listing) is a key to understand the system. To explore the relationship between population and practices in a primary care system based on listing. Cross-sectional population-based study. Logistic regressions of the associations between active listing in primary care, income, education, distances to healthcare and geographical location, adjusting for multimorbidity, age, sex and type of primary care practice. Population over 15 years (n=123 168) in a Swedish county, Blekinge (151 731 inhabitants), in year 2007, actively or passively listed in primary care. The proportion of actively listed was 68%. Actively listed in primary care on 31 December 2007. Highest ORs for active listing in the model including all factors according to income had quartile two and three with OR 0.70 (95% CI 0.69 to 0.70), and those according to education less than 9 years of education had OR 0.70 (95% CI 0.68 to 0.70). Best odds for geographical factors in the same model had municipality C with OR 0.85 (95% CI 0.85 to 0.86) for active listing. Akaike's Information Criterion (AIC) was 124 801 for a model including municipality, multimorbidity, age, sex and type of practice and including all factors gave AIC 123 934. Higher income, shorter education, shorter distance to primary care or longer distance to hospital is associated with active listing in primary care.Multimorbidity, age, geographical location and type of primary care practice are more important to active listing in primary care than socioeconomic status and distance to healthcare. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Geographic Analysis of the Radiation Oncology Workforce

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Aneja, Sanjay [Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States); Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT (United States); Smith, Benjamin D. [University of Texas M. D. Anderson Cancer Center, Houston, TX (United States); Gross, Cary P. [Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT (United States); Department of General Internal Medicine, Yale University School of Medicine, New Haven, CT (United States); Wilson, Lynn D. [Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States); Haffty, Bruce G. [Cancer Institute of New Jersey, New Brunswick, NJ (United States); Roberts, Kenneth [Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States); Yu, James B., E-mail: james.b.yu@yale.edu [Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States); Cancer Outcomes, Policy, and Effectiveness Research Center at Yale, New Haven, CT (United States)

2012-04-01

Purpose: To evaluate trends in the geographic distribution of the radiation oncology (RO) workforce. Methods and Materials: We used the 1995 and 2007 versions of the Area Resource File to map the ratio of RO to the population aged 65 years or older (ROR) within different health service areas (HSA) within the United States. We used regression analysis to find associations between population variables and 2007 ROR. We calculated Gini coefficients for ROR to assess the evenness of RO distribution and compared that with primary care physicians and total physicians. Results: There was a 24% increase in the RO workforce from 1995 to 2007. The overall growth in the RO workforce was less than that of primary care or the overall physician workforce. The mean ROR among HSAs increased by more than one radiation oncologist per 100,000 people aged 65 years or older, from 5.08 per 100,000 to 6.16 per 100,000. However, there remained consistent geographic variability concerning RO distribution, specifically affecting the non-metropolitan HSAs. Regression analysis found higher ROR in HSAs that possessed higher education (p = 0.001), higher income (p < 0.001), lower unemployment rates (p < 0.001), and higher minority population (p = 0.022). Gini coefficients showed RO distribution less even than for both primary care physicians and total physicians (0.326 compared with 0.196 and 0.292, respectively). Conclusions: Despite a modest growth in the RO workforce, there exists persistent geographic maldistribution of radiation oncologists allocated along socioeconomic and racial lines. To solve problems surrounding the RO workforce, issues concerning both gross numbers and geographic distribution must be addressed.

Geographic Analysis of the Radiation Oncology Workforce

International Nuclear Information System (INIS)

Aneja, Sanjay; Smith, Benjamin D.; Gross, Cary P.; Wilson, Lynn D.; Haffty, Bruce G.; Roberts, Kenneth; Yu, James B.

2012-01-01

Purpose: To evaluate trends in the geographic distribution of the radiation oncology (RO) workforce. Methods and Materials: We used the 1995 and 2007 versions of the Area Resource File to map the ratio of RO to the population aged 65 years or older (ROR) within different health service areas (HSA) within the United States. We used regression analysis to find associations between population variables and 2007 ROR. We calculated Gini coefficients for ROR to assess the evenness of RO distribution and compared that with primary care physicians and total physicians. Results: There was a 24% increase in the RO workforce from 1995 to 2007. The overall growth in the RO workforce was less than that of primary care or the overall physician workforce. The mean ROR among HSAs increased by more than one radiation oncologist per 100,000 people aged 65 years or older, from 5.08 per 100,000 to 6.16 per 100,000. However, there remained consistent geographic variability concerning RO distribution, specifically affecting the non-metropolitan HSAs. Regression analysis found higher ROR in HSAs that possessed higher education (p = 0.001), higher income (p < 0.001), lower unemployment rates (p < 0.001), and higher minority population (p = 0.022). Gini coefficients showed RO distribution less even than for both primary care physicians and total physicians (0.326 compared with 0.196 and 0.292, respectively). Conclusions: Despite a modest growth in the RO workforce, there exists persistent geographic maldistribution of radiation oncologists allocated along socioeconomic and racial lines. To solve problems surrounding the RO workforce, issues concerning both gross numbers and geographic distribution must be addressed.

Geographic information systems (GIS): an emerging method to assess demand and provision for rehabilitation services.

Science.gov (United States)

Passalent, Laura; Borsy, Emily; Landry, Michel D; Cott, Cheryl

2013-09-01

To illustrate the application of geographic information systems (GIS) as a tool to assess rehabilitation service delivery by presenting results from research recently conducted to assess demand and provision for community rehabilitation service delivery in Ontario, Canada. Secondary analysis of data obtained from existing sources was used to establish demand and provision profiles for community rehabilitation services. These data were integrated using GIS software. A number of descriptive maps were produced that show the geographical distribution of service provision variables (location of individual rehabilitation health care providers and location of private and publicly funded community rehabilitation clinics) in relation to the distribution of demand variables (location of the general population; location of specific populations (i.e., residents age 65 and older) and distribution of household income). GIS provides a set of tools for describing and understanding the spatial organization of the health of populations and the distribution of health services that can aid the development of health policy and answer key research questions with respect to rehabilitation health services delivery. Implications for Rehabilitation It is important to seek out alternative and innovative methods to examine rehabilitation service delivery. GIS is a computer-based program that takes any data linked to a geographically referenced location and processes it through a software system that manages, analyses and displays the data in the form of a map, allowing for an alternative level of analysis. GIS provides a set of tools for describing and understanding the spatial organization of population health and health services that can aid the development of health policy and answer key research questions with respect to rehabilitation health services delivery.

Soil-transmitted helminth prevalence and infection intensity among geographically and economically distinct Shuar communities in the Ecuadorian Amazon.

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Cepon-Robins, Tara J; Liebert, Melissa A; Gildner, Theresa E; Urlacher, Samuel S; Colehour, Alese M; Snodgrass, J Josh; Madimenos, Felicia C; Sugiyama, Lawrence S

2014-10-01

Soil-transmitted helminth (STH) infections can result in a variety of negative health outcomes (e.g., diarrhea, nutritional deficiencies). Market integration (MI; participation in market-based economies) has been suggested to alter levels of STH exposure due to associated changes in diet, sanitation, and behavior, but the effects are complicated and not well understood. Some effects of economic development result in decreased exposure to certain pathogens, and other factors can lead to higher pathogen exposure. With geographic location used as a proxy, the present study investigates the effects of economic development on parasite load among an indigenous population at multiple points along the spectrum of MI. This research has many implications for public health, including an increased understanding of how social and economic changes alter disease risk around the world and how changing parasite load affects other health outcomes (i.e., allergy, autoimmunity). Specifically, this study examines the prevalence of intestinal helminths among the Shuar, an indigenous group in the Morona-Santiago region of Ecuador, from 2 geographically/economically separated areas, with the following objectives: (1) report STH infection prevalence and intensity among Shuar; (2) explore STH infection prevalence and intensity as it relates to age distribution in the Shuar population; (3) compare STH infection patterns in geographically and economically separated Shuar communities at different levels of MI. Kato-Katz thick smears were made from fresh stool samples and examined to determine STH presence/intensity. Results indicate that 65% of the 211 participants were infected with at least 1 STH. Twenty-five percent of the sample had coinfections with at least 2 species of helminth. Infection was more common among juveniles (<15 yr) than adults. Infection prevalence and intensity was highest among more isolated communities with less market access. This study documents preliminary

Volunteered Geographic Information in Wikipedia

Science.gov (United States)

Hardy, Darren

2010-01-01

Volunteered geographic information (VGI) refers to the geographic subset of online user-generated content. Through Geobrowsers and online mapping services, which use geovisualization and Web technologies to share and produce VGI, a global digital commons of geographic information has emerged. A notable example is Wikipedia, an online collaborative…

Trends in child immunization across geographical regions in India: focus on urban-rural and gender differentials.

Science.gov (United States)

Singh, Prashant Kumar

2013-01-01

Although child immunization is regarded as a highly cost-effective lifesaver, about fifty percent of the eligible children aged 12-23 months in India are without essential immunization coverage. Despite several programmatic initiatives, urban-rural and gender difference in child immunization pose an intimidating challenge to India's public health agenda. This study assesses the urban-rural and gender difference in child immunization coverage during 1992-2006 across six major geographical regions in India. Three rounds of the National Family Health Survey (NFHS) conducted during 1992-93, 1998-99 and 2005-06 were analyzed. Bivariate analyses, urban-rural and gender inequality ratios, and the multivariate-pooled logistic regression model were applied to examine the trends and patterns of inequalities over time. The analysis of change over one and half decades (1992-2006) shows considerable variations in child immunization coverage across six geographical regions in India. Despite a decline in urban-rural and gender differences over time, children residing in rural areas and girls remained disadvantaged. Moreover, northeast, west and south regions, which had the lowest gender inequality in 1992 observed an increase in gender difference over time. Similarly, urban-rural inequality increased in the west region during 1992-2006. This study suggests periodic evaluation of the health care system is vital to assess the between and within group difference beyond average improvement. It is essential to integrate strong immunization systems with broad health systems and coordinate with other primary health care delivery programs to augment immunization coverage.

Geographic patterns and environmental factors associated with human yellow fever presence in the Americas.

Science.gov (United States)

Hamrick, Patricia Najera; Aldighieri, Sylvain; Machado, Gustavo; Leonel, Deise Galan; Vilca, Luz Maria; Uriona, Sonia; Schneider, Maria Cristina

2017-09-01

In the Americas, yellow fever virus transmission is a latent threat due to the proximity between urban and wild environments. Although yellow fever has nearly vanished from North and Central America, there are still 13 countries in the Americas considered endemic by the World Health Organization. Human cases usually occur as a result of the exposure to sylvatic yellow fever in tropical forested environments; but urban outbreaks reported during the last decade demonstrate that the risk in this environment still exists. The objective of this study was to identify spatial patterns and the relationship between key geographic and environmental factors with the distribution of yellow fever human cases in the Americas. An ecological study was carried out to analyze yellow fever human cases reported to the Pan American Health Organization from 2000 to 2014, aggregated by second administrative level subdivisions (counties). Presence of yellow fever by county was used as the outcome variable and eight geo-environmental factors were used as independent variables. Spatial analysis was performed to identify and examine natural settings per county. Subsequently, a multivariable logistic regression model was built. During the study period, 1,164 cases were reported in eight out of the 13 endemic countries. Nearly 83.8% of these cases were concentrated in three countries: Peru (37.4%), Brazil (28.1%) and Colombia (18.4%); and distributed in 57 states/provinces, specifically in 286 counties (3.4% of total counties). Yellow fever presence was significantly associated with altitude, rain, diversity of non-human primate hosts and temperature. A positive spatial autocorrelation revealed a clustered geographic pattern in 138/286 yellow fever positive counties (48.3%). A clustered geographic pattern of yellow fever was identified mostly along the Andes eastern foothills. This risk map could support health policies in endemic countries. Geo-environmental factors associated with presence

Effective environmental factors on geographical distribution of traffic accidents on pedestrians, downtown Tehran city.

Science.gov (United States)

Moradi, Ali; Soori, Hamid; Kavousi, Amir; Eshghabadi, Farshid; Nematollahi, Shahrzad; Zeini, Salahdien

2017-01-01

In most countries, occurrence of traffic causalities is high in pedestrians. The aim of this study is to geographically analyze the traffic casualties in pedestrians in downtown Tehran city. The study population consisted of traffic injury accidents in pedestrians occurred during 2015 in Tehran city. Data were extracted from offices of traffic police and municipality. For analysis of environmental factors and site of accidents, ordinary least square regression models and geographically weighted regression were used. Fitness and performance of models were checked using the Akaike information criteria, Bayesian information criteria, deviance, and adjusted R 2 . Totally, 514 accidents were included in this study. Of them, site of accidents was arterial streets in 370 (71.9%) cases, collector streets in 133 cases (25.2%), and highways in 11 cases (2.1%). Geographical units of traffic accidents in pedestrians had statistically significant relationship with a number of bus stations, number of crossroads, and recreational areas. Distribution of injury traffic accidents in pedestrians is different in downtown Tehran city. Neighborhoods close to markets are considered as most dangerous neighborhoods for injury traffic accidents. Different environmental factors are involved in determining the distribution of these accidents. The health of pedestrians in Tehran city can be improved by proper traffic management, control of environmental factors, and educational programs.

Geographic Names Information System (GNIS) for Lousiana, Geographic NAD83, USGS (2007) [GNIS_LA_USGS_2007

Data.gov (United States)

Louisiana Geographic Information Center — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Utilising a collective case study system theory mixed methods approach: a rural health example.

Science.gov (United States)

Adams, Robyn; Jones, Anne; Lefmann, Sophie; Sheppard, Lorraine

2014-07-28

Insight into local health service provision in rural communities is limited in the literature. The dominant workforce focus in the rural health literature, while revealing issues of shortage of maldistribution, does not describe service provision in rural towns. Similarly aggregation of data tends to render local health service provision virtually invisible. This paper describes a methodology to explore specific aspects of rural health service provision with an initial focus on understanding rurality as it pertains to rural physiotherapy service provision. A system theory-case study heuristic combined with a sequential mixed methods approach to provide a framework for both quantitative and qualitative exploration across sites. Stakeholder perspectives were obtained through surveys and in depth interviews. The investigation site was a large area of one Australian state with a mix of rural, regional and remote communities. 39 surveys were received from 11 locations within the investigation site and 19 in depth interviews were conducted. Stakeholder perspectives of rurality and workforce numbers informed the development of six case types relevant to the exploration of rural physiotherapy service provision. Participant perspective of rurality often differed with the geographical classification of their location. The numbers of onsite colleagues and local access to health services contributed to participant perceptions of rurality. The complexity of understanding the concept of rurality was revealed by interview participants when providing their perspectives about rural physiotherapy service provision. Dual measures, such as rurality and workforce numbers, provide more relevant differentiation of sites to explore specific services, such rural physiotherapy service provision, than single measure of rurality as defined by geographic classification. The system theory-case study heuristic supports both qualitative and quantitative exploration in rural health services

CYBERNETICS AND GEOGRAPHICAL EDUCATION: CYBERNETICS OF LEARNING AND LEARNING OF CYBERNETICS

Directory of Open Access Journals (Sweden)

M. R. Arpentieva

2017-01-01

Full Text Available Modern geographical education implies a broad implementation of innovative technologies, allowing students to fully and deeply understand the subject and methods of professional activity, and effectively and productively act upon this understanding. Therefore, in the work of modern geographer computer and media technologies occupy a significant place, and geographic education occupies an important place in learning cybernetic disciplines: computer technologies act as an important condition for obtaining high quality professional education, as well as an important tool of professional activity of modern specialist-geographer. The article is devoted to comparing three modern approaches to the study and optimization of training Cybernetics and programming in the framework of geographical education: an approach devoted to the study of “learning styles”; the metacognitive approach to learning computer science and programming; and intersubjective, evergetic or actually cybernetic, approach. It describes their advantages and limitations in the context of geographical education, as well as the internal unity as different forms of study of productivity and conditions of the dialogical interaction between teacher and student in the context of obtaining high-quality geographical education.

Diagnostic and laboratory test ordering in Northern Portuguese Primary Health Care: a cross-sectional study

Science.gov (United States)

Sá, Luísa; Teixeira, Andreia Sofia Costa; Tavares, Fernando; Costa-Santos, Cristina; Couto, Luciana; Costa-Pereira, Altamiro; Hespanhol, Alberto Pinto; Santos, Paulo

2017-01-01

Objectives To characterise the test ordering pattern in Northern Portugal and to investigate the influence of context-related factors, analysing the test ordered at the level of geographical groups of family physicians and at the level of different healthcare organisations. Design Cross-sectional study. Setting Northern Primary Health Care, Portugal. Participants Records about diagnostic and laboratory tests ordered from 2035 family physicians working at the Northern Regional Health Administration, who served approximately 3.5 million Portuguese patients, in 2014. Outcomes To determine the 20 most ordered diagnostic and laboratory tests in the Northern Regional Health Administration; to identify the presence and extent of variations in the 20 most ordered diagnostic and laboratory tests between the Groups of Primary Care Centres and between health units; and to study factors that may explain these variations. Results The 20 most ordered diagnostic and laboratory tests almost entirely comprise laboratory tests and account for 70.9% of the total tests requested. We can trace a major pattern of test ordering for haemogram, glucose, lipid profile, creatinine and urinalysis. There was a significant difference (P<0.001) in test orders for all tests between Groups of Primary Care Centres and for all tests, except glycated haemoglobin (P=0.06), between health units. Generally, the Personalised Healthcare Units ordered more than Family Health Units. Conclusions The results from this study show that the most commonly ordered tests in Portugal are laboratory tests, that there is a tendency for overtesting and that there is a large variability in diagnostic and laboratory test ordering in different geographical and organisational Portuguese primary care practices, suggesting that there may be considerable potential for the rationalisation of test ordering. The existence of Family Health Units seems to be a strong determinant in decreasing test ordering by Portuguese family

Spatial Point Pattern Analysis of Human Settlements and Geographical Associations in Eastern Coastal China — A Case Study

Directory of Open Access Journals (Sweden)

Zhonghao Zhang

2014-03-01

Full Text Available Understanding the spatial point pattern of human settlements and their geographical associations are important for understanding the drivers of land use and land cover change and the relationship between environmental and ecological processes on one hand and cultures and lifestyles on the other. In this study, a Geographic Information System (GIS approach, Ripley’s K function and Monte Carlo simulation were used to investigate human settlement point patterns. Remotely sensed tools and regression models were employed to identify the effects of geographical determinants on settlement locations in the Wen-Tai region of eastern coastal China. Results indicated that human settlements displayed regular-random-cluster patterns from small to big scale. Most settlements located on the coastal plain presented either regular or random patterns, while those in hilly areas exhibited a clustered pattern. Moreover, clustered settlements were preferentially located at higher elevations with steeper slopes and south facing aspects than random or regular settlements. Regression showed that influences of topographic factors (elevation, slope and aspect on settlement locations were stronger across hilly regions. This study demonstrated a new approach to analyzing the spatial patterns of human settlements from a wide geographical prospective. We argue that the spatial point patterns of settlements, in addition to the characteristics of human settlements, such as area, density and shape, should be taken into consideration in the future, and land planners and decision makers should pay more attention to city planning and management. Conceptual and methodological bridges linking settlement patterns to regional and site-specific geographical characteristics will be a key to human settlement studies and planning.

Alternative dispute resolution programs in health care: a study of organizational utilization.

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Rotarius, T M; Liberman, A; Osterman, K C; Putnam, P

1999-03-01

The hyperturbulence in today's health care environment acts as a primer that escalates the frequency and severity of business conflicts. Several alternative dispute resolution (ADR) programs are described, with ADR suggested as a viable approach in assisting organizations in resolving conflicts. The data indicate that all of the health care organizations surveyed utilize some form of ADR to resolve conflict. The most common conflict resolution objective found is win/win, and respondents felt that ADR effectively met intended objectives. While the data gathered for this study are from a limited geographic region in Central Florida, the results can likely be generalized to many socially and ethnically diverse regions of the country.

Implementation of Geographical Information System for Bacteriological Contamination Analysis on Refill Drinking Water Depot (Study in Tembalang District)

Science.gov (United States)

Rahmitha, Amelia; Utami, Endang Sri; Sitohang, Marya Yenita

2018-02-01

People used refilled-drinking-water for household and food stall because its efficient and low cost. Based on Indonesian Health Ministry regulation, it should not have any coliform bacteria. This study aimed to describe the bacteriological contamination of refilled drinking water using geographical information system (GIS). In this research, it was used an analytic observational method. The samples were from all available (37) depots in Tembalang district, one form each depot took used a sterile bottle. Contamination of bacteria was identified by Most Probable Number (MPN) method lactose broth media, Mac Conkey media, and IMVIC media. The depot samples were then plotted on (GIS). This study showed 95% samples were not feasible to consume since they contamined coliform. All sub-district had one that contaminated by coliform, 75% sub-districts had depots that contaminated Escherichia coli, while 55% sub-districts had depots that contaminated with other bacteria. The internal risk factors of the contamination were the absence of hygiene-sanitation worthy certificate (95%), depots location near to pollution sources (5%), and the misused of UV light. The external risk factor was lack of quality control that was not as the sterilization from office health Semarang city. Policy reinforcement should be done to all of the depots.

Changes at the National Geographic Society

Science.gov (United States)

Schwille, Kathleen

2016-01-01

For more than 125 years, National Geographic has explored the planet, unlocking its secrets and sharing them with the world. For almost thirty of those years, National Geographic has been committed to K-12 educators and geographic education through its Network of Alliances. As National Geographic begins a new chapter, they remain committed to the…

Conceptual Model of Dynamic Geographic Environment

Directory of Open Access Journals (Sweden)

Martínez-Rosales Miguel Alejandro

2014-04-01

Full Text Available In geographic environments, there are many and different types of geographic entities such as automobiles, trees, persons, buildings, storms, hurricanes, etc. These entities can be classified into two groups: geographic objects and geographic phenomena. By its nature, a geographic environment is dynamic, thus, it’s static modeling is not sufficient. Considering the dynamics of geographic environment, a new type of geographic entity called event is introduced. The primary target is a modeling of geographic environment as an event sequence, because in this case the semantic relations are much richer than in the case of static modeling. In this work, the conceptualization of this model is proposed. It is based on the idea to process each entity apart instead of processing the environment as a whole. After that, the so called history of each entity and its spatial relations to other entities are defined to describe the whole environment. The main goal is to model systems at a conceptual level that make use of spatial and temporal information, so that later it can serve as the semantic engine for such systems.

[Geographic data for Neotropical bats (Chiroptera)].

Science.gov (United States)

Noguera-Urbano, Elkin A; Escalante, Tania

2014-03-01

The global effort to digitize biodiversity occurrence data from collections, museums and other institutions has stimulated the development of important tools to improve the knowledge and conservation of biodiversity. The Global Biodiversity Information Facility (GBIF) enables and opens access to biodiversity data of 321 million of records, from 379 host institutions. Neotropical bats are a highly diverse and specialized group, and the geographic information about them is increasing since few years ago, but there are a few reports about this topic. The aim of this study was to analyze the number of digital records in GBIF of Neotropical bats with distribution in 21 American countries, evaluating their nomenclatural and geographical consistence at scale of country. Moreover, we evaluated the gaps of information on 1 degrees latitude x 1 degrees longitude grids cells. There were over 1/2 million records, but 58% of them have no latitude and longitude data; and 52% full fit nomenclatural and geographic evaluation. We estimated that there are no records in 54% of the analyzed area; the principal gaps are in biodiversity hotspots like the Colombian and Brazilian Amazonia and Southern Venezuela. In conclusion, our study suggests that available data on GBIF have nomenclatural and geographic biases. GBIF data represent partially the bat species richness and the main gaps in information are in South America.

Gene-environment Interactions in Human Health: Case Studies and Strategies for developing new paradigms and research methodologies

Directory of Open Access Journals (Sweden)

Fatimah L.C. Jackson

2014-08-01

Full Text Available The synergistic effects of genes and the environment on health are explored in three case studies: adult lactase persistence, autism spectrum disorders, and the metabolic syndrome, providing examples of the interactive complexities underlying these phenotypes. Since the phenotypes are the initial targets of evolutionary processes, understanding the specific environmental contexts of the genetic, epigenetic, and proteomic changes associated with these phenotypes is essential in predicting their health implications. Robust databases must be developed on the local scale to deconstruct both the population substructure and the unique components of the environment that stimulate geographically-specific changes in gene expression patterns. To produce these databases and make valid predictions, new, locally-focused and information-dense models are needed that incorporate data on evolutionary ecology, environmental complexity, local geographic patterns of gene expression, and population substructure.

U Plant Geographic Zone Cleanup Prototype

International Nuclear Information System (INIS)

Romine, L.D.; Leary, K.D.; Lackey, M.B.; Robertson, J.R.

2006-01-01

The U Plant geographic zone (UPZ) occupies 0.83 square kilometers on the Hanford Site Central Plateau (200 Area). It encompasses the U Plant canyon (221-U Facility), ancillary facilities that supported the canyon, soil waste sites, and underground pipelines. The UPZ cleanup initiative coordinates the cleanup of the major facilities, ancillary facilities, waste sites, and contaminated pipelines (collectively identified as 'cleanup items') within the geographic zone. The UPZ was selected as a geographic cleanup zone prototype for resolving regulatory, technical, and stakeholder issues and demonstrating cleanup methods for several reasons: most of the area is inactive, sufficient characterization information is available to support decisions, cleanup of the high-risk waste sites will help protect the groundwater, and the zone contains a representative cross-section of the types of cleanup actions that will be required in other geographic zones. The UPZ cleanup demonstrates the first of 22 integrated zone cleanup actions on the Hanford Site Central Plateau to address threats to groundwater, the environment, and human health. The UPZ contains more than 100 individual cleanup items. Cleanup actions in the zone will be undertaken using multiple regulatory processes and decision documents. Cleanup actions will include building demolition, waste site and pipeline excavation, and the construction of multiple, large engineered barriers. In some cases, different cleanup actions may be taken at item locations that are immediately adjacent to each other. The cleanup planning and field activities for each cleanup item must be undertaken in a coordinated and cohesive manner to ensure effective execution of the UPZ cleanup initiative. The UPZ zone cleanup implementation plan (ZCIP) [1] was developed to address the need for a fundamental integration tool for UPZ cleanup. As UPZ cleanup planning and implementation moves forward, the ZCIP is intended to be a living document that will

Landfills in Jiangsu province, China, and potential threats for public health: Leachate appraisal and spatial analysis using geographic information system and remote sensing

International Nuclear Information System (INIS)

Yang Kun; Zhou Xiaonong; Yan Weian; Hang Derong; Steinmann, Peter

2008-01-01

Waste disposal is of growing environmental and public health concern in China where landfilling is the predominant method of disposal. The assessment of potential health hazards posed by existing landfills requires sound information, and processing of a significant amount of spatial data. Geographical information system (GIS) and remote sensing (RS) are valuable tools for assessing health impacts due to landfills. The aims of this study were: (i) to analyze the leachate and gas emissions from landfills used for domestic waste disposal in a metropolitan area of Jiangsu province, China, (ii) to investigate remotely-sensed environmental features in close proximity to landfills, and (iii) to evaluate the compliance of their location and leachate quality with the relevant national regulations. We randomly selected five landfills in the metropolitan areas of Wuxi and Suzhou city, Jiangsu province, established a GIS database and examined whether data were in compliance with national environmental and public health regulations. The leachates of the sampled landfills contained heavy metals (Pb, As, Cr 6+ and Hg) and organic compounds in concentrations considered harmful to human health. Measured methane concentrations on landfill surfaces were low. Spatial analysis of the location of landfills with regard to distance from major water bodies, sensible infrastructure and environmental conditions according to current national legislation resulted in the rejection of four of the five sites as inappropriate for landfills. Our results call for rigorous evaluation of the spatial location of landfills in China that must take into consideration environmental and public health criteria

GIS for public health : A study of Andhra Pradesh

Science.gov (United States)

Shrinagesh, B.; Kalpana, Markandey; Kiran, Baktula

2014-06-01

Geographic information systems and remote sensing have capabilities that are ideally suited for use in infectious disease surveillance and control, particularly for the many vector-borne neglected diseases that are often found in poor populations in remote rural areas. They are also highly relevant to meet the demands of outbreak investigation and response, where prompt location of cases, rapid communication of information, and quick mapping of the epidemic's dynamics are vital. The situation has changed dramatically over the past few years. GIS helps in determining geographic distribution of diseases, analysing spatial and temporal trends, Mapping populations at risk, Stratifying risk factors, Assessing resource allocation, Planning and targeting interventions, Monitoring diseases and interventions over time. There are vast disparities in people's health even among the different districts across the state of Andhra Pradesh largely attributed to the resource allocation by the state government. Despite having centers of excellence in healthcare delivery, these facilities are limited and are inadequate in meeting the current healthcare demands. The main objectives are to study the prevalent diseases in Andhra Pradesh, to study the infrastructural facilities available in A.P. The methodology includes the Spatial Database, which will be mostly in the form of digitized format. The Non-Spatial Database includes both secondary data as well as the primary data.

Differences in occupational, transportation, domestic, and leisure-time physical activities: do geographical location and socio-cultural status matter?

Science.gov (United States)

Gauthier, Alain P; Lariviere, Michel; Pong, Raymond; Snelling, Susan; Young, Nancy

2012-02-01

Researchers have recently expressed their concern for the health of Francophones and rural dwellers in Canada. Their levels of physical activity may explain part of the observed differences. However, little is known about the physical activity levels of these 2 groups. The purpose of this study was to assess levels of physical activity among a sample of Francophones and rural dwellers. The study also assessed the associations of various types of physical activity to measures of health status. A quota-based convenience sample of 256 adults from Northern Ontario was surveyed using the IPAQ and the SF-12. There were no significant differences in activity levels between language groups (P = .06) or geographical groups (P = .22) on the combined dependent variables based on MANOVA. Leisure-time physical activity scores were consistently associated to better physical component summary scores of the SF-12. Implications for practice include that leisure-time physical activities have been at the forefront of public health promotion, and our findings support this approach. Further, population specific interventions are indeed important, however, within this Canadian context when identifying target groups one must look beyond sociocultural status or geographical location.

Geography of community health information organization activity in the United States: Implications for the effectiveness of health information exchange.

Science.gov (United States)

Vest, Joshua R

The United States has invested nearly a billion dollars in creating community health information organizations (HIOs) to foster health information exchange. Community HIOs provide exchange services to health care organizations within a distinct geographic area. While geography is a key organizing principle for community HIOs, it is unclear if geography is an effective method for organization or what challenges are created by a geography-based approach to health information exchange. This study describes the extent of reported community HIO coverage in the United States and explores the practical and policy implications of overlaps and gaps in HIO service areas. Furthermore, because self-reported service areas may not accurately reflect the true extent of HIOs activities, this study maps the actual markets for health services included in each HIO. An inventory of operational community HIOs that included self-reported geographic markets and participating organizations was face-validated using a crowd-sourcing approach. Aggregation of the participating hospitals' individual health care markets provided the total geographic market served by each community HIO. Mapping and overlay analyses using geographic information system methods described the extent of community HIO activity in the United States. Evidence suggests that community HIOs may be inefficiently distributed. Parts of the United States have multiple, overlapping HIOs, while others do not have any providing health information exchange services. In markets served by multiple community HIOs, 45% of hospitals were participants of only one HIO. The current geography of community HIO activity does not provide comprehensive patient information to providers, nor community-wide information for public health agencies. The discord between the self-reported and market geography of community HIOs raises concerns about the potential effectiveness of health information exchange, illustrates the limitations of geography as

application of geographic information system (gis) in industrial land ...

African Journals Online (AJOL)

DEPHILIHS

Land capability index mapping using Geographic Information System (GIS) principles was used for this study. The study was undertaken using Arc View ... Geographic Information Systems (GIS) is one of the best approaches for this type of ..... western segments and to a small extent the east. Some of the available lands are ...

"To me it's just another tool to help understand the evidence": public health decision-makers' perceptions of the value of geographical information systems (GIS).

Science.gov (United States)

Joyce, Kerry

2009-09-01

While geographical information systems (GIS) have applications in a range of diverse fields, they remain underused by decision-makers in health settings. Through analysis of data captured in semi-structured interviews, the paper explores four thematic areas (the ontological, power, functionality and collaboration discourses) to understand how GIS are perceived and valued by public health decision-makers. The findings suggest that although GIS are viewed as useful tools to inform decision-making, they are in no way a panacea for practice. Participants' concerns that GIS outputs can potentially be misinterpreted or used erroneously might partly explain resistance to their use. GIS are, therefore, likely to be most effective in decision-making when applied in a multi-disciplinary context to facilitate sharing of data, knowledge and expertise across the public health landscape.

Geographic heterogeneity in cycling under various weather conditions: Evidence from Greater Rotterdam

NARCIS (Netherlands)

Helbich, M.; Böcker, L.; Dijst, M.J.

2014-01-01

With its sustainability, health and accessibility benefits, cycling has nowadays been established on research and policy agendas. Notwithstanding the decision to cycle is closely related to local weather conditions and interwoven with the geographical context, research dealing with both aspects is

Racial/Ethnic, socioeconomic, and geographic disparities of cervical cancer advanced-stage diagnosis in Texas.

Science.gov (United States)

Zhan, F Benjamin; Lin, Yan

2014-01-01

Advanced-stage diagnosis is among the primary causes of mortality among cervical cancer patients. With the wide use of Pap smear screening, cervical cancer advanced-stage diagnosis rates have decreased. However, disparities of advanced-stage diagnosis persist among different population groups. A challenging task in cervical cancer disparity reduction is to identify where underserved population groups are. Based on cervical cancer incidence data between 1995 and 2008, this study investigated advanced-stage cervical cancer disparities in Texas from three social domains: Race/ethnicity, socioeconomic status (SES), and geographic location. Effects of individual and contextual factors, including age, tumor grade, race/ethnicity, as well as contextual SES, spatial access to health care, sociocultural factors, percentage of African Americans, and insurance expenditures, on these disparities were examined using multilevel logistic regressions. Significant variations by race/ethnicity and SES were found in cervical cancer advanced-stage diagnosis. We also found a decline in racial/ethnic disparities of advanced cervical cancer diagnosis rate from 1995 to 2008. However, the progress was slower among African Americans than Hispanics. Geographic disparities could be explained by age, race/ethnicity, SES, and the percentage of African Americans in a census tract. Our findings have important implications for developing effective cervical cancer screening and control programs. We identified the location of underserved populations who need the most assistance with cervical cancer screening. Cervical cancer intervention programs should target Hispanics and African Americans, as well as individuals from communities with lower SES in geographic areas where higher advanced-stage diagnosis rates were identified in this study. Copyright © 2014 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Water quality and health in a Sahelian semi-arid urban context: an integrated geographical approach in Nouakchott, Mauritania

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Doulo Traoré

2013-11-01

Full Text Available Access to sufficient quantities of safe drinking water is a human right. Moreover, access to clean water is of public health relevance, particularly in semi-arid and Sahelian cities due to the risks of water contamination and transmission of water-borne diseases. We conducted a study in Nouakchott, the capital of Mauritania, to deepen the understanding of diarrhoeal incidence in space and time. We used an integrated geographical approach, combining socio-environmental, microbiological and epidemiological data from various sources, including spatially explicit surveys, laboratory analysis of water samples and reported diarrhoeal episodes. A geospatial technique was applied to determine the environmental and microbiological risk factors that govern diarrhoeal transmission. Statistical and cartographic analyses revealed concentration of unimproved sources of drinking water in the most densely populated areas of the city, coupled with a daily water allocation below the recommended standard of 20 l per person. Bacteriological analysis indicated that 93% of the non-piped water sources supplied at water points were contaminated with 10-80 coliform bacteria per 100 ml. Diarrhoea was the second most important disease reported at health centres, accounting for 12.8% of health care service consultations on average. Diarrhoeal episodes were concentrated in municipalities with the largest number of contaminated water sources. Environmental factors (e.g. lack of improved water sources and bacteriological aspects (e.g. water contamination with coliform bacteria are the main drivers explaining the spatio-temporal distribution of diarrhoea. We conclude that integrating environmental, microbiological and epidemiological variables with statistical regression models facilitates risk profiling of diarrhoeal diseases. Modes of water supply and water contamination were the main drivers of diarrhoea in this semi-arid urban context of Nouakchott, and hence require a

Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study

Science.gov (United States)

Mehdipoor, Hamed; Zurita-Milla, Raul; Rosemartin, Alyssa; Gerst, Katharine L.; Weltzin, Jake F.

2015-01-01

Recent improvements in online information communication and mobile location-aware technologies have led to the production of large volumes of volunteered geographic information. Widespread, large-scale efforts by volunteers to collect data can inform and drive scientific advances in diverse fields, including ecology and climatology. Traditional workflows to check the quality of such volunteered information can be costly and time consuming as they heavily rely on human interventions. However, identifying factors that can influence data quality, such as inconsistency, is crucial when these data are used in modeling and decision-making frameworks. Recently developed workflows use simple statistical approaches that assume that the majority of the information is consistent. However, this assumption is not generalizable, and ignores underlying geographic and environmental contextual variability that may explain apparent inconsistencies. Here we describe an automated workflow to check inconsistency based on the availability of contextual environmental information for sampling locations. The workflow consists of three steps: (1) dimensionality reduction to facilitate further analysis and interpretation of results, (2) model-based clustering to group observations according to their contextual conditions, and (3) identification of inconsistent observations within each cluster. The workflow was applied to volunteered observations of flowering in common and cloned lilac plants (Syringa vulgaris and Syringa x chinensis) in the United States for the period 1980 to 2013. About 97% of the observations for both common and cloned lilacs were flagged as consistent, indicating that volunteers provided reliable information for this case study. Relative to the original dataset, the exclusion of inconsistent observations changed the apparent rate of change in lilac bloom dates by two days per decade, indicating the importance of inconsistency checking as a key step in data quality

Developing a Workflow to Identify Inconsistencies in Volunteered Geographic Information: A Phenological Case Study.

Science.gov (United States)

Mehdipoor, Hamed; Zurita-Milla, Raul; Rosemartin, Alyssa; Gerst, Katharine L; Weltzin, Jake F

2015-01-01

Recent improvements in online information communication and mobile location-aware technologies have led to the production of large volumes of volunteered geographic information. Widespread, large-scale efforts by volunteers to collect data can inform and drive scientific advances in diverse fields, including ecology and climatology. Traditional workflows to check the quality of such volunteered information can be costly and time consuming as they heavily rely on human interventions. However, identifying factors that can influence data quality, such as inconsistency, is crucial when these data are used in modeling and decision-making frameworks. Recently developed workflows use simple statistical approaches that assume that the majority of the information is consistent. However, this assumption is not generalizable, and ignores underlying geographic and environmental contextual variability that may explain apparent inconsistencies. Here we describe an automated workflow to check inconsistency based on the availability of contextual environmental information for sampling locations. The workflow consists of three steps: (1) dimensionality reduction to facilitate further analysis and interpretation of results, (2) model-based clustering to group observations according to their contextual conditions, and (3) identification of inconsistent observations within each cluster. The workflow was applied to volunteered observations of flowering in common and cloned lilac plants (Syringa vulgaris and Syringa x chinensis) in the United States for the period 1980 to 2013. About 97% of the observations for both common and cloned lilacs were flagged as consistent, indicating that volunteers provided reliable information for this case study. Relative to the original dataset, the exclusion of inconsistent observations changed the apparent rate of change in lilac bloom dates by two days per decade, indicating the importance of inconsistency checking as a key step in data quality

Geographical Simulation and Optimization System (GeoSOS and Its Application in the Analysis of Geographic National Conditions

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LI Xia

2017-10-01

Full Text Available Since the Chinese first survey on geographic national conditions has completed, an urgent need is to analyze these geographical data, such as mining of spatial distribution patterns, land use transition rules, development trends. The analysis is crucial for extracting the knowledge from these big data about geographic national conditions. The remote sensing interpretation data and land use/cover data generated by these geographic national conditions monitoring projects are the basic data sources for a variety of research and applications in terms of land use change detection, urban dynamic analysis, and urban/land use planning. The information can be used for assisting in the coordination of land resource use and decision making for urban and rural development, ecological environment protection and other issues that depends on spatial intelligent decisions. We proposed the theoretical framework of geographical simulation and optimization system (GeoSOS, which coupled geographic process simulation/prediction and spatial optimization, provides powerful theoretical support and practical tools for above researches. This paper develops the extension of GeoSOS software-GeoSOS for ArcGIS, which is an ArcGIS Add-In runs on ArcGIS platform for facilitating the above analyses. We take the urban expansion and ecological protection research in rapid urbanization area as an example, use the software to tackle a series of urbanization issues in the study area. The simulation results show that the predicted land development intensity of Guangdong Province will exceed the constraint index in 2020 according to the national development plan. However, the urbanization expansion based on the constraints of land development intensity and ecological protection can satisfy these constraints, and obtain a more compact landscape pattern. The analysis has shown that GeoSOS can be a useful tool for assisting in the analysis of geographic national conditions information

Geographic information systems - transportation ISTEA management systems server net prototype pooled fund study : phase B - summary

Science.gov (United States)

1997-06-01

The Geographic Information System-Transportation (GIS-T) ISTEA Management Systems Server Net Prototype Pooled Fund Study represents the first national cooperative effort in the transportation industry to address the management and monitoring systems ...

Predicting geographically distributed adult dental decay in the greater Auckland region of New Zealand.

Science.gov (United States)

Rocha, C M; Kruger, E; Whyman, R; Tennant, M

2014-06-01

To model the geographic distribution of current (and treated) dental decay on a high-resolution geographic basis for the Auckland region of New Zealand. The application of matrix-based mathematics to modelling adult dental disease-based on known population risk profiles to provide a detailed map of the dental caries distribution for the greater Auckland region. Of the 29 million teeth in adults in the region some 1.2 million (4%) are suffering decay whilst 7.2 million (25%) have previously suffered decay and are now restored. The model provides a high-resolution picture of where the disease burden lies geographically and presents to health planners a method for developing future service plans.

A Geographical Information System for Malaria in Colombia (SIGMA)

International Nuclear Information System (INIS)

Poveda, German; Hernandez, Olver; Urquijo, Lenis; Padilla Julio Cesar

2005-01-01

A Geographical Information System for Malaria in Colombia (SIGMA) is introduced and its capabilities and modules are described. It allows the interactive visualization of the Colombian Ministry of Social Protection database at national, regional and municipal levels and the analysis of relationships with different environmental and climatic variables. SIGMA is a powerful decision support system for human health intervention and management programs in Colombia

Trends in child immunization across geographical regions in India: focus on urban-rural and gender differentials.

Directory of Open Access Journals (Sweden)

Prashant Kumar Singh

Full Text Available Although child immunization is regarded as a highly cost-effective lifesaver, about fifty percent of the eligible children aged 12-23 months in India are without essential immunization coverage. Despite several programmatic initiatives, urban-rural and gender difference in child immunization pose an intimidating challenge to India's public health agenda. This study assesses the urban-rural and gender difference in child immunization coverage during 1992-2006 across six major geographical regions in India.Three rounds of the National Family Health Survey (NFHS conducted during 1992-93, 1998-99 and 2005-06 were analyzed. Bivariate analyses, urban-rural and gender inequality ratios, and the multivariate-pooled logistic regression model were applied to examine the trends and patterns of inequalities over time.The analysis of change over one and half decades (1992-2006 shows considerable variations in child immunization coverage across six geographical regions in India. Despite a decline in urban-rural and gender differences over time, children residing in rural areas and girls remained disadvantaged. Moreover, northeast, west and south regions, which had the lowest gender inequality in 1992 observed an increase in gender difference over time. Similarly, urban-rural inequality increased in the west region during 1992-2006.This study suggests periodic evaluation of the health care system is vital to assess the between and within group difference beyond average improvement. It is essential to integrate strong immunization systems with broad health systems and coordinate with other primary health care delivery programs to augment immunization coverage.

Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes

Directory of Open Access Journals (Sweden)

Puett Robin C

2009-10-01

Full Text Available Abstract Background There is increasing interest in the study of place effects on health, facilitated in part by geographic information systems. Incomplete or missing address information reduces geocoding success. Several geographic imputation methods have been suggested to overcome this limitation. Accuracy evaluation of these methods can be focused at the level of individuals and at higher group-levels (e.g., spatial distribution. Methods We evaluated the accuracy of eight geo-imputation methods for address allocation from ZIP codes to census tracts at the individual and group level. The spatial apportioning approaches underlying the imputation methods included four fixed (deterministic and four random (stochastic allocation methods using land area, total population, population under age 20, and race/ethnicity as weighting factors. Data included more than 2,000 geocoded cases of diabetes mellitus among youth aged 0-19 in four U.S. regions. The imputed distribution of cases across tracts was compared to the true distribution using a chi-squared statistic. Results At the individual level, population-weighted (total or under age 20 fixed allocation showed the greatest level of accuracy, with correct census tract assignments averaging 30.01% across all regions, followed by the race/ethnicity-weighted random method (23.83%. The true distribution of cases across census tracts was that 58.2% of tracts exhibited no cases, 26.2% had one case, 9.5% had two cases, and less than 3% had three or more. This distribution was best captured by random allocation methods, with no significant differences (p-value > 0.90. However, significant differences in distributions based on fixed allocation methods were found (p-value Conclusion Fixed imputation methods seemed to yield greatest accuracy at the individual level, suggesting use for studies on area-level environmental exposures. Fixed methods result in artificial clusters in single census tracts. For studies

Geographical Tatoos

Directory of Open Access Journals (Sweden)

Valéria Cazetta

2014-08-01

Full Text Available The article deals with maps tattooed on bodies. My interest in studying the corporeality is inserted in a broader project entitled Geographies and (in Bodies. There is several published research on tattoos, but none in particular about tattooed maps. However some of these works interested me because they present important discussions in contemporary about body modification that helped me locate the body modifications most within the culture than on the nature. At this time, I looked at pictures of geographical tattoos available in several sites of the internet.

Modeling the Geographic Consequence and Pattern of Dengue Fever Transmission in Thailand.

Science.gov (United States)

Bekoe, Collins; Pansombut, Tatdow; Riyapan, Pakwan; Kakchapati, Sampurna; Phon-On, Aniruth

2017-05-04

Dengue fever is one of the infectious diseases that is still a public health problem in Thailand. This study considers in detail, the geographic consequence, seasonal and pattern of dengue fever transmission among the 76 provinces of Thailand from 2003 to 2015. A cross-sectional study. The data for the study was from the Department of Disease Control under the Bureau of Epidemiology, Thailand. The quarterly effects and location on the transmission of dengue was modeled using an alternative additive log-linear model. The model fitted well as illustrated by the residual plots and the  Again, the model showed that dengue fever is high in the second quarter of every year from May to August. There was an evidence of an increase in the trend of dengue annually from 2003 to 2015. There was a difference in the distribution of dengue fever within and between provinces. The areas of high risks were the central and southern regions of Thailand. The log-linear model provided a simple medium of modeling dengue fever transmission. The results are very important in the geographic distribution of dengue fever patterns.

A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions

Science.gov (United States)

2011-01-01

Background This paper analyses the relationship between public perceptions of access to general practitioners (GPs) surgeries and hospitals against health status, car ownership and geographic distance. In so doing it explores the different dimensions associated with facility access and accessibility. Methods Data on difficulties experienced in accessing health services, respondent health status and car ownership were collected through an attitudes survey. Road distances to the nearest service were calculated for each respondent using a GIS. Difficulty was related to geographic distance, health status and car ownership using logistic generalized linear models. A Geographically Weighted Regression (GWR) was used to explore the spatial non-stationarity in the results. Results Respondent long term illness, reported bad health and non-car ownership were found to be significant predictors of difficulty in accessing GPs and hospitals. Geographic distance was not a significant predictor of difficulty in accessing hospitals but was for GPs. GWR identified the spatial (local) variation in these global relationships indicating locations where the predictive strength of the independent variables was higher or lower than the global trend. The impacts of bad health and non-car ownership on the difficulties experienced in accessing health services varied spatially across the study area, whilst the impacts of geographic distance did not. Conclusions Difficulty in accessing different health facilities was found to be significantly related to health status and car ownership, whilst the impact of geographic distance depends on the service in question. GWR showed how these relationships were varied across the study area. This study demonstrates that the notion of access is a multi-dimensional concept, whose composition varies with location, according to the facility being considered and the health and socio-economic status of the individual concerned. PMID:21787394

Preliminary Study on Secure Intranet Geographical Information System

International Nuclear Information System (INIS)

Kim, Hyun Tae; Park, Jee Won; Ko Han Suk

2005-01-01

A Geographical Information System (GIS) is usually defined as an information system for capturing, checking, storing, retrieving, manipulating, analyzing, and displaying spatial and relevant non-spatial data. Here 'spatial' means 'geo-referenced to the earth'. It is estimated that about 80% of the data used in business and government are of spatial type. The georeferenced information on sensitive location is usually protected as the highest level of confidentiality by the most information system. This paper discusses a commercial satellite imagery based secure Intranet GIS which runs the Microsoft .NET technology

Employers' views on the promotion of workplace health and wellbeing: a qualitative study.

Science.gov (United States)

Pescud, Melanie; Teal, Renee; Shilton, Trevor; Slevin, Terry; Ledger, Melissa; Waterworth, Pippa; Rosenberg, Michael

2015-07-11

The evidence surrounding the value of workplace health promotion in positively influencing employees' health and wellbeing via changes to their health behaviours is growing. The aim of the study was to explore employers' views on the promotion of workplace health and wellbeing and the factors affecting these views. Using a qualitative phenomenological approach, 10 focus groups were conducted with employers selected from a range of industries and geographical locations within Western Australia. The total sample size was 79. Three factors were identified: employers' conceptualization of workplace health and wellbeing; employers' descriptions of (un)healthy workers and perceptions surrounding the importance of healthy workers; and employers' beliefs around the role the workplace should play in influencing health. Progress may be viable in promoting health and wellbeing if a multifaceted approach is employed taking into account the complex factors influencing employers' views. This could include an education campaign providing information about what constitutes health and wellbeing beyond the scope of occupational health and safety paradigms along with information on the benefits of workplace health and wellbeing aligned with perceptions relating to healthy and unhealthy workers.

Care Facilities Licensed by LDHH, Geographic NAD83, LDHH (2006) [LDHH_care_facilities_06_07_full_LDHH_2006

Data.gov (United States)

Louisiana Geographic Information Center — A portion of the facilities licensed by the Louisiana Department of Health and Hospitals, Health Standards Section. This database includes Adult Day Cares, Adult Day...

Development of a Geographical Information System for the monitoring of the health infrastructure in rural areas in Tanzania

Directory of Open Access Journals (Sweden)

Jürgen Schweikart

2008-12-01

Full Text Available

Background: Setting up Geographical Information Systems (GIS on the existing health infrastructure and ongoing and planned interventions in public health in Tanzania is still in its infancy. While there are several activities on gathering information and attempts of documentation there does not exist an overall systematic approach of generally capturing all health related facts and bringing them together into a unique information system yet. In order to strengthen the information system in the health sector in general, and to assist Ministry of Health and Social Welfare (MoHSW in better receiving an overview of health related infrastructure and intervention data for management purpose, a first-pilot GIS was built up in the Mbeya Region in cooperation with Tanzanian German Programme to Support Health (TGPSH/Gesellschaft für technische Zusammenarbeit (GTZ.

Methods: The Health-GIS contains information on all health facilities (HF in the region and their infrastructure. Therefore, personal interviews were conducted in selected HF based on a comprehensive questionnaire. The spatial coordinates of the HF were taken with a Global Positioning System (GPS. In a relational database, the newly coded HF are linked to the gathered information pertaining to them and in a second step are analysed and visualised with help of GIS. Results: First results show newly collected geometry and attribute data for a considerable number of HFs in Mbeya Region, which are then supplemented by information on the street network lately surveyed during the fieldtrip. With the help of a database management system (DBMS all information are stored and maintained within one health database. By their spatial relation, data may be analysed and mapped with a Health-GIS. Because of the targeted cooperation with people and institutions from the local health sector, the way for integrating the Health-GIS into the health

Using GIS to study the health impact of air emissions.

Science.gov (United States)

Dent, A L; Fowler, D A; Kaplan, B M; Zarus, G M; Henriques, W D

2000-02-01

Geographical Information Systems (GIS) is a fast-developing technology with an ever-increasing number of applications. Air dispersion modeling is a well-established discipline that can produce results in a spatial context. The marriage of these two applications is optimal because it leverages the predictive capacity of modeling with the data management, analysis, and display capabilities of GIS. In the public health arena, exposure estimation techniques are invaluable. The utilization of air emission data, such as U.S. EPA Toxic Release Inventory (TRI) data, and air dispersion modeling with GIS enable public health professionals to identify and define the potentially exposed population, estimate the health risk burden of that population, and determine correlations between point-based health outcome results with estimated health risk.

Designing clinical trials for age-related geographic atrophy of the macula: enrollment data from the geographic atrophy natural history study.

Science.gov (United States)

Sunness, Janet S; Applegate, Carol A; Bressler, Neil M; Hawkins, Barbara S

2007-02-01

To derive information from the Geographic Atrophy (GA) Natural History Study that is relevant to recruiting patients and designing clinical trials for GA. A prospective natural history study with annual follow-up enrolled patients with GA and no choroidal neovascularization (CNV) in at least one eye. Characteristics of recruited and enrolled patients are analyzed, in the context of progression data from the study. The data show that GA from age-related macular degeneration (AMD) was seen in 82% of the referred patients, there was an attrition rate of 14%, and 60% of the patients with GA from AMD had bilateral GA without CNV. Within the 83 patients in the bilateral GA group with follow-up, 50 patients (60%) met both the proposed visual acuity and the proposed GA area criteria for a treatment trial in one or both eyes. These data should be helpful in planning future treatment trials for GA.

The Korean Study of Women’s Health-Related Issues (K-Stori: Rationale and Study Design

Directory of Open Access Journals (Sweden)

Ha Na Cho

2017-06-01

Full Text Available Abstract Background Measures to address gender-specific health issues are essential due to fundamental, biological differences between the sexes. Studies have increasingly stressed the importance of customizing approaches directed at women’s health issues according to stages in the female life cycle. In Korea, however, gender-specific studies on issues affecting Korean women in relation to stages in their life cycle are lacking. Accordingly, the Korean Study of Women’s Health-Related Issues (K-Stori was designed to investigate life cycle-specific health issues among women, covering health status, awareness, and risk perceptions. Methods K-Stori was conducted as a nationwide cross-sectional survey targeting Korean women aged 14–79 years. Per each stage in the female life cycle (adolescence, childbearing age, pregnancy & postpartum, menopause, and older adult stage, 3000 women (total 15,000 were recruited by stratified multistage random sampling for geographic area based on the 2010 Resident Registration Population in Korea. Specialized questionnaires per each stage (total of five were developed in consultation with multidisciplinary experts and by reflecting upon current interests into health among the general population of women in Korea. This survey was conducted from April 1 to June 31, 2016, at which time investigators from a professional research agency went door-to-door to recruit residents and conducted in-person interviews. Discussion The study’s findings may help with elucidating health issues and unmet needs specific to each stage in the life cycle of Korean women that have yet to be identified in present surveys.

Quantitative Study of the Geographical Distribution of the Authorship of High-Energy Physics Journals

CERN Document Server

Krause, Jan; Mele, S

2007-01-01

The recent debate on Open Access publishing in High-Energy Physics has exposed the problem of assessing the scienti c production of every country where scholars are active in this discipline. This assessment is complicated by the highly-collaborative cross-border tradition of High-Energy Physics research. We present the results of a quantitative study of the geographical distribution of authors of High-Energy Physics articles, which takes into account cross-border co-authorship by attributing articles to countries on a pro-rata basis. Aggregated data on the share of scienti c results published by each country are presented together with a breakdown for the most popular journals in the eld, and a separation for articles by small groups or large collaborations. Collaborative patterns across large geographic areas are also investigated. Finally, the High-Energy Physics production of each country is compared with some economic indicators.

Indoor radon concentration data: Its geographic and geologic distribution, an example from the Capital District, NY

International Nuclear Information System (INIS)

Thomas, J.J.; Overeynder, H.M.; Thomas, B.R.

1995-01-01

Most studies of the geographic distribution of indoor radon levels are plotted by county or ZIP code. This method is used for the radon potential maps produced by the U.S. Environmental Protection Agency (EPA) and the New York State Department of Health (NYSDOH). The basis for the mapping is the mean or median indoor radon count for all the data provided by NYSDOH within each geographic area. While testing the indoor radon analyses provided to the authors by CMT Independent Laboratories, we discovered data that deviated markedly from the EPA and NYSDOH means for the Capital District of New York (Albany and surrounding counties). Their screening indoor radon average concentrations in pCi/L, indicate low potential for Schenectady (3.0), Saratoga (3.2), and Albany (3.7) counties; and moderate potential for Rensselaer (6.4) and Columbia (7.0) counties. Our database of over 3,000 analyses contains over 800 records of indoor radon counts above 4 pCi/L (14-47% of each county's analyses), many high enough to be rated as a serious health hazard. In order to obtain greater precision of information, the authors plotted their indoor radon data by street address using MapInfo, a geographic Information System (GIS), and StreetInfo, MapInfo's TIGER address database. We compared the geographic distribution of our data to both the Bedrock Geology and Surficial Geology Maps of New York State. The results show a striking relationship of radon concentrations to bedrock, faults and permeability of surficial material. Data being compiled and mapped by street address by the NYSDOH in Erie County in western New York, confirm our results

Health status of children with cerebral palsy living in Europe: a multi-centre study

DEFF Research Database (Denmark)

Beckung, E; White-Koning, M; Marcelli, M

2008-01-01

AIM: The aim of this report is to describe the health status of 8-12-year-old children with cerebral palsy (CP) of all severities in Europe using the Child Health Questionnaire (CHQ). METHOD: A total of 818 children with CP from nine centres in defined geographical areas participated. CP type...

5 CFR 536.303 - Geographic conversion.

Science.gov (United States)

2010-01-01

... after geographic conversion is the employee's existing payable rate of basic pay in effect immediately before the action. (b) Geographic conversion when a retained rate employee's official worksite is changed... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Geographic conversion. 536.303 Section...

A comparison of complementary and alternative medicine users and use across geographical areas: A national survey of 1,427 women

Science.gov (United States)

2011-01-01

Background Evidence indicates that people who reside in non-urban areas have a higher use of complementary and alternative medicine (CAM) than people who reside in urban areas. However, there is sparse research on the reasons for such differences. This paper investigates the reasons for geographical differences in CAM use by comparing CAM users from four geographical areas (major cities, inner regional, outer region, rural/remote) across a range of health status, healthcare satisfaction, neighbourhood and community factors. Methods A cross-sectional survey of 1,427 participants from the Australian Longitudinal Study on Women's Health (ALSWH) conducted in 2009. Results The average total cost of consultations with CAM practitioners was $416 per annum and was highest for women in the major cities, declining with increasing distance from capital cities/remoteness (p < 0.001). The average total cost of self-prescribed CAM was $349 per annum, but this did not significantly differ across geographical areas. The increased use of CAM in rural and remote areas appears to be influenced by poorer access to conventional medical care (p < 0.05) and a greater sense of community (p < 0.05) amongst these rural and remote residents. In contrast to the findings of previous research this study found that health status was not associated with the differences in CAM use between urban and non-urban areas. Conclusion It appears that a number of factors influence the different levels of CAM use across the urban/non-urban divide. Further research is needed to help tease out and understand these factors. Such research will help support health care policy and practice with regards to this topic. PMID:21981986

Neighborhood Disadvantage, Residential Segregation, and Beyond-Lessons for Studying Structural Racism and Health.

Science.gov (United States)

Riley, Alicia R

2018-04-01

A recent surge of interest in identifying the health effects of structural racism has coincided with the ongoing attention to neighborhood effects in both epidemiology and sociology. Mindful of these currents in the literature, it makes sense that we are seeing an emergent tendency in health disparities research to operationalize structural racism as either neighborhood disadvantage or racial residential segregation. This review essay synthesizes findings on the relevance of neighborhood disadvantage and residential segregation to the study of structural racism and health. It then draws on recent literature to propose four lessons for moving beyond traditional neighborhood effects approaches in the study of structural racism and health. These lessons are (1) to shift the focus of research from census tracts to theoretically meaningful units of analysis, (2) to leverage historic and geographic variation in race relations, (3) to combine data from multiple sources, and (4) to challenge normative framing that aims to explain away racial health disparities without discussing racism or racial hierarchy. The author concludes that research on the health effects of structural racism should go beyond traditional neighborhood effects approaches if it is to guide intervention to reduce racial and ethnic health disparities.

Geographic distribution of hospital beds throughout China: a county-level econometric analysis.

Science.gov (United States)

Pan, Jay; Shallcross, David

2016-11-08

Geographical distribution of healthcare resources is an important dimension of healthcare access. Little work has been published on healthcare resource allocation patterns in China, despite public equity concerns. Using national data from 2043 counties, this paper investigates the geographic distribution of hospital beds at the county level in China. We performed Gini coefficient analysis to measure inequalities and ordinary least squares regression with fixed provincial effects and additional spatial specifications to assess key determinants. We found that provinces in west China have the least equitable resource distribution. We also found that the distribution of hospital beds is highly spatially clustered. Finally, we found that both county-level savings and government revenue show a strong positive relationship with county level hospital bed density. We argue for more widespread use of disaggregated, geographical data in health policy-making in China to support the rational allocation of healthcare resources, thus promoting efficiency and equity.

Wildlife disease and environmental health in Alaska

Science.gov (United States)

Van Hemert, Caroline; Pearce, John; Oakley, Karen; Whalen, Mary

2013-01-01

Environmental health is defined by connections between the physical environment, ecological health, and human health. Current research within the U.S. Geological Survey (USGS) recognizes the importance of this integrated research philosophy, which includes study of disease and pollutants as they pertain to wildlife and humans. Due to its key geographic location and significant wildlife resources, Alaska is a critical area for future study of environmental health.

The effect of modifiable risk factors on geographic mortality differentials: a modelling study

Directory of Open Access Journals (Sweden)

Stevenson Christopher E

2012-01-01

Full Text Available Abstract Background Australian mortality rates are higher in regional and remote areas than in major cities. The degree to which this is driven by variation in modifiable risk factors is unknown. Methods We applied a risk prediction equation incorporating smoking, cholesterol and blood pressure to a national, population based survey to project all-causes mortality risk by geographic region. We then modelled life expectancies at different levels of mortality risk by geographic region using a risk percentiles model. Finally we set high values of each risk factor to a target level and modelled the subsequent shift in the population to lower levels of mortality risk and longer life expectancy. Results Survival is poorer in both Inner Regional and Outer Regional/Remote areas compared to Major Cities for men and women at both high and low levels of predicted mortality risk. For men smoking, high cholesterol and high systolic blood pressure were each associated with the mortality difference between Major Cities and Outer Regional/Remote areas--accounting for 21.4%, 20.3% and 7.7% of the difference respectively. For women smoking and high cholesterol accounted for 29.4% and 24.0% of the difference respectively but high blood pressure did not contribute to the observed mortality differences. The three risk factors taken together accounted for 45.4% (men and 35.6% (women of the mortality difference. The contribution of risk factors to the corresponding differences for inner regional areas was smaller, with only high cholesterol and smoking contributing to the difference in men-- accounting for 8.8% and 6.3% respectively-- and only smoking contributing to the difference in women--accounting for 12.3%. Conclusions These results suggest that health intervention programs aimed at smoking, blood pressure and total cholesterol could have a substantial impact on mortality inequities for Outer Regional/Remote areas.

Equity in Whom Gets Studied: A Systematic Review Examining Geographical Region, Gender, Commodity, and Employment Context in Research of Low Back Disorders in Farmers.

Science.gov (United States)

Trask, Catherine; Khan, Muhammad Idress; Adebayo, Olugbenga; Boden, Catherine; Bath, Brenna

2015-01-01

Farmers are at high risk of having low back disorders (LBDs). Agriculture employs half the global workforce, but it is unclear whether all farming populations are represented equitably in the LBD literature. This systematic review quantifies the number and quality of research studies by geographical region, agricultural commodity, and farmer characteristics. MEDLINE, Web of Science, CINAHL, Scopus, and Embase databases were searched using conceptual groups of search terms: "farming" and "LBD." Screening and extraction were performed by two researchers in parallel, then reconciled through discussion. Extracted study characteristics included location of study; commodity produced; worker sex, ethnicity, and migration status; type of employment; and study quality. These were compared with agricultural employment statistics from the International Labour Organization and World Bank. From 125 articles, roughly half (67) did not specify the employment context of the participants in terms of migration status or subsistence versus commercial farming. Although in many regions worldwide women make up the bulk of the workforce, only a minority of low back disorder studies focus on women. Despite the predominance of the agricultural workforce in developing nations, 91% of included studies were conducted in developed nations. There was no significant difference in study quality by geographic region. The nature of the world's agricultural workforce is poorly represented by the literature when it comes to LBD research. If developing nations, female sex, and migrant work are related to increased vulnerability, then these groups need more representation to achieve equitable occupational health study.

Geographic Information Systems-Transportation ISTEA management systems server-net prototype pooled fund study: Phase B summary

Energy Technology Data Exchange (ETDEWEB)

Espinoza, J. Jr.; Dean, C.D.; Armstrong, H.M. [and others

1997-06-01

The Geographic Information System-Transportation (GIS-T) ISTEA Management Systems Server Net Prototype Pooled Fund Study represents the first national cooperative effort in the transportation industry to address the management and monitoring systems as well as the statewide and metropolitan transportation planning requirements of the Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA). The Study was initiated in November 1993 through the Alliance for Transportation Research and under the leadership of the New Mexico State Highway and Transportation Department. Sandia National Laboratories, an Alliance partner, and Geographic Paradigm Computing. Inc. provided technical leadership for the project. In 1992, the Alliance for Transportation Research, the New Mexico State Highway and Transportation Department, Sandia National Laboratories, and Geographic Paradigm Computing, Inc., proposed a comprehensive research agenda for GIS-T. That program outlined a national effort to synthesize new transportation policy initiatives (e.g., management systems and Intelligent Transportation Systems) with the GIS-T server net ideas contained in the NCHRP project {open_quotes}Adaptation of GIS to Transportation{close_quotes}. After much consultation with state, federal, and private interests, a project proposal based on this agenda was prepared and resulted in this Study. The general objective of the Study was to develop GIS-T server net prototypes supporting the ISTEA requirements for transportation planning and management and monitoring systems. This objective can be further qualified to: (1) Create integrated information system architectures and design requirements encompassing transportation planning activities and data. (2) Encourage the development of functional GIS-T server net prototypes. (3) Demonstrate multiple information systems implemented in a server net environment.

Public health preparedness of health providers: meeting the needs of diverse, rural communities.

Science.gov (United States)

Hsu, Chiehwen Ed; Mas, Francisco Soto; Jacobson, Holly E; Harris, Ann Marie; Hunt, Victoria I; Nkhoma, Ella T

2006-11-01

Meeting the needs of public health emergency and response presents a unique challenge for health practitioners with primary responsibilities for rural communities that are often very diverse. The present study assessed the language capabilities, confidence and training needs of Texas rural physicians in responding to public health emergencies. In the first half of year 2004, a cross-sectional, semistructured survey questionnaire was administered in northern, rural Texas. The study population consisted of 841 practicing or retired physicians in the targeted area. One-hundred-sixty-six physicians (30%) responded to the survey. The responses were geographically referenced in maps. Respondents reported seeing patients with diverse cultural backgrounds. They communicated in 16 different languages other than English in clinical practice or at home, with 40% speaking Spanish at work. Most were not confident in the diagnosis or treatment of public health emergency cases. Geographic information systems were found useful in identifying those jurisdictions with expressed training and cultural needs. Additional efforts should be extended to involve African-American/Hispanic physicians in preparedness plans for providing culturally and linguistically appropriate care in emergencies.

The impact of the built environment on health across the life course: design of a cross-sectional data linkage study

Science.gov (United States)

Villanueva, Karen; Pereira, Gavin; Knuiman, Matthew; Bull, Fiona; Wood, Lisa; Christian, Hayley; Foster, Sarah; Boruff, Bryan J; Beesley, Bridget; Hickey, Sharyn; Joyce, Sarah; Nathan, Andrea; Saarloos, Dick; Giles-Corti, Billie

2013-01-01

Introduction The built environment is increasingly recognised as being associated with health outcomes. Relationships between the built environment and health differ among age groups, especially between children and adults, but also between younger, mid-age and older adults. Yet few address differences across life stage groups within a single population study. Moreover, existing research mostly focuses on physical activity behaviours, with few studying objective clinical and mental health outcomes. The Life Course Built Environment and Health (LCBEH) project explores the impact of the built environment on self-reported and objectively measured health outcomes in a random sample of people across the life course. Methods and analysis This cross-sectional data linkage study involves 15 954 children (0–15 years), young adults (16–24 years), adults (25–64 years) and older adults (65+years) from the Perth metropolitan region who completed the Health and Wellbeing Surveillance System survey administered by the Department of Health of Western Australia from 2003 to 2009. Survey data were linked to Western Australia's (WA) Hospital Morbidity Database System (hospital admission) and Mental Health Information System (mental health system outpatient) data. Participants’ residential address was geocoded and features of their ‘neighbourhood’ were measured using Geographic Information Systems software. Associations between the built environment and self-reported and clinical health outcomes will be explored across varying geographic scales and life stages. Ethics and dissemination The University of Western Australia's Human Research Ethics Committee and the Department of Health of Western Australia approved the study protocol (#2010/1). Findings will be published in peer-reviewed journals and presented at local, national and international conferences, thus contributing to the evidence base informing the design of healthy neighbourhoods for all residents. PMID

Utilizing patient geographic information system data to plan telemedicine service locations.

Science.gov (United States)

Soares, Neelkamal; Dewalle, Joseph; Marsh, Ben

2017-09-01

To understand potential utilization of clinical services at a rural integrated health care system by generating optimal groups of telemedicine locations from electronic health record (EHR) data using geographic information systems (GISs). This retrospective study extracted nonidentifiable grouped data of patients over a 2-year period from the EHR, including geomasked locations. Spatially optimal groupings were created using available telemedicine sites by calculating patients' average travel distance (ATD) to the closest clinic site. A total of 4027 visits by 2049 unique patients were analyzed. The best travel distances for site groupings of 3, 4, 5, or 6 site locations were ranked based on increasing ATD. Each one-site increase in the number of available telemedicine sites decreased minimum ATD by about 8%. For a given group size, the best groupings were very similar in minimum travel distance. There were significant differences in predicted patient load imbalance between otherwise similar groupings. A majority of the best site groupings used the same small number of sites, and urban sites were heavily used. With EHR geospatial data at an individual patient level, we can model potential telemedicine sites for specialty access in a rural geographic area. Relatively few sites could serve most of the population. Direct access to patient GIS data from an EHR provides direct knowledge of the client base compared to methods that allocate aggregated data. Geospatial data and methods can assist health care location planning, generating data about load, load balance, and spatial accessibility. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

SCHOOL LINGUISTIC CREATIVITY BASED ON SCIENTIFIC GEOGRAPHICAL TEXTS

OpenAIRE

VIORICA BLÎNDĂ

2012-01-01

The analysis and observation of the natural environment and of the social and economic one, observing phenomena, objects, beings, and geographical events are at the basis of producing geographical scientific texts. The symbols of iconotexts and cartotexts are another source of inspiration for linguistic interpretation. The linguistic creations that we selected for our study are the scientific analysis, the commentary, the characteriz...

Geographical patterns and disasters management : case study of Alexandra Township / O.M. Mere

OpenAIRE

Mere, Oniccah Monimang

2011-01-01

The focus of the study is to explore Geographic patterns and Disasters Management in the context of Alexandra Township situated in the Johannesburg Metro. The research evaluates if the Disaster Management Unit in Johannesburg municipality is prepared in terms of policies, community campaigns on flood disasters as well as forming organizations that will assist in times of disaster. It also refers to other South African townships with regard to where most affected townships are l...

The Oklahoma Geographic Information Retrieval System

Science.gov (United States)

Blanchard, W. A.

1982-01-01

The Oklahoma Geographic Information Retrieval System (OGIRS) is a highly interactive data entry, storage, manipulation, and display software system for use with geographically referenced data. Although originally developed for a project concerned with coal strip mine reclamation, OGIRS is capable of handling any geographically referenced data for a variety of natural resource management applications. A special effort has been made to integrate remotely sensed data into the information system. The timeliness and synoptic coverage of satellite data are particularly useful attributes for inclusion into the geographic information system.

Health care utilization in persons with spinal cord injury: part 2-determinants, geographic variation and comparison with the general population.

Science.gov (United States)

Ronca, E; Scheel-Sailer, A; Koch, H G; Gemperli, A

2017-09-01

Cross-sectional survey. To investigate annual rates and geographic variation of health care utilization in persons with spinal cord injury (SCI), and to identify factors associated with health care utilization. Community setting, entire country of Switzerland. Annual rates of planned and emergency visits to the general practitioner (GP), planned and emergency outpatient clinic visits and in-patient hospitalizations were compared between individuals with chronic SCI, over 16 years of age residing in Switzerland between late 2011 and early 2013 and a population sample (2012) of the Swiss general population. Risk factors for increased health service utilization were identified by means of regression models adjusted for spatial variation. Of 492 participants (86.2% response rate), 94.1% visited a health care provider in the preceding year, with most persons visiting GPs (88.4%) followed by outpatient clinics (53.1%) and in-patient hospitals (35.9%). The increase in utilization as compared with the general population was 1.3-, 4.0- and 2.9-fold for GP, outpatient clinic and in-patient hospital visit, respectively. GP utilization was highest in persons with low income (incidence rate ratio (IRR) 1.85) and old age (IRR 2.62). In the first 2 years post injury, health service visits were 1.7 (GP visits) to 5.8 times (emergency outpatient clinic visits) more likely compared with those later post injury. People with SCI more frequently use health services as compared with the general population, across all types of medical service institutions. GP services were used most often in areas where availability of specialized outpatient clinic services was low.

Geographic variation in gorilla limb bones.

Science.gov (United States)

Jabbour, Rebecca S; Pearman, Tessa L

2016-06-01

Gorilla systematics has received increased attention over recent decades from primatologists, conservationists, and paleontologists. Studies of geographic variation in DNA, skulls, and teeth have led to new taxonomic proposals, such as recognition of two gorilla species, Gorilla gorilla (western gorilla) and Gorilla beringei (eastern gorilla). Postcranial differences between mountain gorillas (G. beringei beringei) and western lowland gorillas (G. g. gorilla) have a long history of study, but differences between the limb bones of the eastern and western species have not yet been examined with an emphasis on geographic variation within each species. In addition, proposals for recognition of the Cross River gorilla as Gorilla gorilla diehli and gorillas from Tshiaberimu and Kahuzi as G. b. rex-pymaeorum have not been evaluated in the context of geographic variation in the forelimb and hindlimb skeletons. Forty-three linear measurements were collected from limb bones of 266 adult gorillas representing populations of G. b. beringei, Gorilla beringei graueri, G. g. gorilla, and G. g. diehli in order to investigate geographic diversity. Skeletal elements included the humerus, radius, third metacarpal, third proximal hand phalanx, femur, tibia, calcaneus, first metatarsal, third metatarsal, and third proximal foot phalanx. Comparisons of means and principal components analyses clearly differentiate eastern and western gorillas, indicating that eastern gorillas have absolutely and relatively smaller hands and feet, among other differences. Gorilla subspecies and populations cluster consistently by species, although G. g. diehli may be similar to the eastern gorillas in having small hands and feet. The subspecies of G. beringei are distinguished less strongly and by different variables than the two gorilla species. Populations of G. b. graueri are variable, and Kahuzi and Tshiaberimu specimens do not cluster together. Results support the possible influence of

The dynamics and limits of corporate growth in health care.

Science.gov (United States)

Robinson, J C

1996-01-01

This paper analyzes the economic dynamics of five forms of organizational growth in health care: horizontal integration within a single geographic market; horizontal integration across different geographic markets; diversification among multiple products and types of service; diversification among multiple distribution channels; and vertical integration with suppliers. These principles are illustrated through brief case studies of three firms that have grown by way of internal expansion, mergers, acquisitions, and diversification: WellPoint Health Networks, UniHealth America, and Mullikin Medical Enterprises. The paper analyzes the potential limits of organizational growth in health care and explores the implications of integration and diversification for antitrust policy.

A review of geographic variation and Geographic Information Systems (GIS) applications in prescription drug use research.

Science.gov (United States)

Wangia, Victoria; Shireman, Theresa I

2013-01-01

While understanding geography's role in healthcare has been an area of research for over 40 years, the application of geography-based analyses to prescription medication use is limited. The body of literature was reviewed to assess the current state of such studies to demonstrate the scale and scope of projects in order to highlight potential research opportunities. To review systematically how researchers have applied geography-based analyses to medication use data. Empiric, English language research articles were identified through PubMed and bibliographies. Original research articles were independently reviewed as to the medications or classes studied, data sources, measures of medication exposure, geographic units of analysis, geospatial measures, and statistical approaches. From 145 publications matching key search terms, forty publications met the inclusion criteria. Cardiovascular and psychotropic classes accounted for the largest proportion of studies. Prescription drug claims were the primary source, and medication exposure was frequently captured as period prevalence. Medication exposure was documented across a variety of geopolitical units such as countries, provinces, regions, states, and postal codes. Most results were descriptive and formal statistical modeling capitalizing on geospatial techniques was rare. Despite the extensive research on small area variation analysis in healthcare, there are a limited number of studies that have examined geographic variation in medication use. Clearly, there is opportunity to collaborate with geographers and GIS professionals to harness the power of GIS technologies and to strengthen future medication studies by applying more robust geospatial statistical methods. Copyright © 2013 Elsevier Inc. All rights reserved.

Generating Health Estimates by Zip Code: A Semiparametric Small Area Estimation Approach Using the California Health Interview Survey.

Science.gov (United States)

Wang, Yueyan; Ponce, Ninez A; Wang, Pan; Opsomer, Jean D; Yu, Hongjian

2015-12-01

We propose a method to meet challenges in generating health estimates for granular geographic areas in which the survey sample size is extremely small. Our generalized linear mixed model predicts health outcomes using both individual-level and neighborhood-level predictors. The model's feature of nonparametric smoothing function on neighborhood-level variables better captures the association between neighborhood environment and the outcome. Using 2011 to 2012 data from the California Health Interview Survey, we demonstrate an empirical application of this method to estimate the fraction of residents without health insurance for Zip Code Tabulation Areas (ZCTAs). Our method generated stable estimates of uninsurance for 1519 of 1765 ZCTAs (86%) in California. For some areas with great socioeconomic diversity across adjacent neighborhoods, such as Los Angeles County, the modeled uninsured estimates revealed much heterogeneity among geographically adjacent ZCTAs. The proposed method can increase the value of health surveys by providing modeled estimates for health data at a granular geographic level. It can account for variations in health outcomes at the neighborhood level as a result of both socioeconomic characteristics and geographic locations.

GIS for public health : A study of Andhra Pradesh

International Nuclear Information System (INIS)

Shrinagesh, B; Kalpana, Markandey; Kiran, Baktula

2014-01-01

Geographic information systems and remote sensing have capabilities that are ideally suited for use in infectious disease surveillance and control, particularly for the many vector-borne neglected diseases that are often found in poor populations in remote rural areas. They are also highly relevant to meet the demands of outbreak investigation and response, where prompt location of cases, rapid communication of information, and quick mapping of the epidemic's dynamics are vital. The situation has changed dramatically over the past few years. GIS helps in determining geographic distribution of diseases, analysing spatial and temporal trends, Mapping populations at risk, Stratifying risk factors, Assessing resource allocation, Planning and targeting interventions, Monitoring diseases and interventions over time. There are vast disparities in people's health even among the different districts across the state of Andhra Pradesh largely attributed to the resource allocation by the state government. Despite having centers of excellence in healthcare delivery, these facilities are limited and are inadequate in meeting the current healthcare demands. The main objectives are to study the prevalent diseases in Andhra Pradesh, to study the infrastructural facilities available in A.P. The methodology includes the Spatial Database, which will be mostly in the form of digitized format. The Non-Spatial Database includes both secondary data as well as the primary data

Random-growth urban model with geographical fitness

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Kii, Masanobu; Akimoto, Keigo; Doi, Kenji

2012-12-01

This paper formulates a random-growth urban model with a notion of geographical fitness. Using techniques of complex-network theory, we study our system as a type of preferential-attachment model with fitness, and we analyze its macro behavior to clarify the properties of the city-size distributions it predicts. First, restricting the geographical fitness to take positive values and using a continuum approach, we show that the city-size distributions predicted by our model asymptotically approach Pareto distributions with coefficients greater than unity. Then, allowing the geographical fitness to take negative values, we perform local coefficient analysis to show that the predicted city-size distributions can deviate from Pareto distributions, as is often observed in actual city-size distributions. As a result, the model we propose can generate a generic class of city-size distributions, including but not limited to Pareto distributions. For applications to city-population projections, our simple model requires randomness only when new cities are created, not during their subsequent growth. This property leads to smooth trajectories of city population growth, in contrast to other models using Gibrat’s law. In addition, a discrete form of our dynamical equations can be used to estimate past city populations based on present-day data; this fact allows quantitative assessment of the performance of our model. Further study is needed to determine appropriate formulas for the geographical fitness.

First impressions: geographic variation in media messages during the first phase of ACA implementation.

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Gollust, Sarah E; Barry, Colleen L; Niederdeppe, Jeff; Baum, Laura; Fowler, Erika Franklin

2014-12-01

Many Americans will learn about the implementation of the Patient Protection and Affordable Care Act (ACA) through the mass media. We examined geographic variation in the volume and content of mass media during the initial two-week rollout of the new health insurance marketplaces in October 2013 across 210 US media markets, using data from the Wesleyan Media Project. We found substantial geographic variation in the volume and tone of insurance product advertisements, political advertisements, and news coverage of the ACA marketplaces. News coverage of the ACA airing in media markets located in states operating federal or partnership marketplaces was more negative than coverage airing in markets located in states running their own marketplaces. Intrastate variation in media volume and content was also substantial and appears distinguishable from the local political climate. Variation in exposure to media messages likely affects public sentiment regarding the ACA and could contribute to geographic differences in insurance enrollment and public perceptions of US health care options. Researchers and policy makers evaluating the implementation of the ACA-and insurance enrollment in the marketplaces in particular-should consider addressing media influences. Copyright © 2014 by Duke University Press.

Composing Models of Geographic Physical Processes

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Hofer, Barbara; Frank, Andrew U.

Processes are central for geographic information science; yet geographic information systems (GIS) lack capabilities to represent process related information. A prerequisite to including processes in GIS software is a general method to describe geographic processes independently of application disciplines. This paper presents such a method, namely a process description language. The vocabulary of the process description language is derived formally from mathematical models. Physical processes in geography can be described in two equivalent languages: partial differential equations or partial difference equations, where the latter can be shown graphically and used as a method for application specialists to enter their process models. The vocabulary of the process description language comprises components for describing the general behavior of prototypical geographic physical processes. These process components can be composed by basic models of geographic physical processes, which is shown by means of an example.

Evaluation of heavy metals level (arsenic, nickel, mercury and lead effecting on health in drinking water resource of Kohgiluyeh county using geographic information system (GIS

Directory of Open Access Journals (Sweden)

Abdolazim Alinejad

2016-08-01

Full Text Available This study was conducted to determine the amount of heavy metals (Arsenic, Nickel, Mercury, and Lead in drinking water resource of Kohgiluyeh County using Geographic Information System (GIS. This cross-sectional study was conducted on drinking water resource of Kohgiluyeh County (33 water supplies and 4 heavy metals in 2013. 264 samples were analyzed in this study. The experiments were performed at the laboratory of Water and Wastewater Company based on Standard Method. The Atomic Adsorption was used to evaluate the amount of heavy metals. The results were mapping by Geographic Information System software (GIS 9.3 after processing of parameters. Finally, the data were analyzed by SPSS 16 and Excel 2007. The maximum amount of each heavy metal and its resource were shown as follow: Nickel or Ni (Source of w12, 124ppb, Arsenic or As (w33, 42 ppb, Mercury or Hg (w22 and w30, 96ppb, Lead or Pb (w21, 1553ppb. Also, the GIS maps showed that Lead in the central region was very high, Mercury and Arsenic in the northern region were high and Nickel in the eastern and western regions was high. The Kriging method and Gauss model were introduced as best method for interpolation of these metals. Since the concentration of these heavy metals was higher than standard levels in most drinking water supplies in Kohgiluyeh County and these high levels of heavy metals can cause the adverse effects on human health; therefore, the environmental and geological studies are necessary to identify the pollution resource and elimination and removal of heavy metals

Prevalence and geographic variations in asthma symptoms in children and adolescents in Galicia (Spain).

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López-Silvarrey-Varela, Angel; Pértega-Díaz, Sonia; Rueda-Esteban, Santiago; Sánchez-Lastres, Juan Manuel; San-José-González, Miguel Angel; Sampedro-Campos, Manuel; Pérez-Castro, Teresa; Garnelo-Suárez, Luciano; Bamonde-Rodríguez, Luis; López-Silvarrey-Varela, Javier; González-Barcala, Javier

2011-06-01

To determine the prevalence and geographic variations of the symptoms associated with asthma in Galician children and adolescents. A cross-sectional epidemiological study following ISAAC (International Study of Asthma and Allergies in Childhood) methodology, and using a written questionnaire distributed in schools. The study sample included 10,371 6-7 year-old children and 10,372 13-14 year-old adolescents, all of them from Galician Health Areas. A logistic regression model was used to analyse geographic variations. In the 6-7 year-old group, wheezing in the last 12 months varied from 11.4% (Santiago) to 15.7% (Vigo) and in the adolescents varied from 8.8% (Ourense) to 18.8% (Vigo). The distribution by gender showed a predominant significance in 6-7 year-old males (Pchildren and 2.39 (95% CI, 1.82-3.13) for adolescents. The estimated prevalence of asthma in the Autonomous Community of Galicia was 13.6% in younger children and 12.2% in adolescents. The prevalence of wheezing in the last 12 months in the different areas of Galicia is considerably higher than the rest of Spanish ISAAC cities in the 6-7 years group and very similar in the 13-14 years group, except in Vigo where it is considerably higher. We found a clearly defined geographic pattern in the adolescent group, with higher prevalences in coastal areas than in the interior. Copyright © 2010 SEPAR. Published by Elsevier Espana. All rights reserved.

Geographic disparities of asthma prevalence in south-western United States of America

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Lung-Chang Chien

2014-11-01

Full Text Available Asthma is one of the most prevalent chronic diseases in the United States of America (USA, and many of its risk factors have so far been investigated and identified; however, evidence is limited on how spatial disparities impact the disease. The purpose of this study was to provide scientific evidence on the location influence on asthma in the four states of south- western USA (California, Arizona, New Mexico and Texas which, together, include 360 counties. The Behavioral Risk Factor Surveillance System database for these four states covering the period of 2000 to 2011 was used in this analysis, and a Bayesian structured additive regression model was applied to analyse by a geographical information system. After adjusting for individual characteristics, socioeconomic status and health behaviour, this study found higher odds associated with asth- ma and a likely cluster around the Bay Area in California, while lower odds appeared in several counties around the larger cities of Texas, such as Dallas, Houston and San Antonio. The significance map shows 43 of 360 counties (11.9% to be high-risk areas for asthma. The level of geographical disparities demonstrates that the county risk of asthma prevalence varies significantly and can be about 19.9% (95% confidence interval: 15.3-25.8 higher or lower than the overall asthma prevalence. We provide an efficient method to utilise and interpret the existing surveillance data on asthma. Visualisation by maps may help deliver future interventions on targeted areas and vulnerable populations to reduce geographical disparities in the burden of asthma.

Geographic disparities of asthma prevalence in south-western United States of America.

Science.gov (United States)

Chien, Lung-Chang; Alamgir, Hasanat

2014-11-01

Asthma is one of the most prevalent chronic diseases in the United States of America (USA), and many of its risk factors have so far been investigated and identified; however, evidence is limited on how spatial disparities impact the disease. The purpose of this study was to provide scientific evidence on the location influence on asthma in the four states of southwestern USA (California, Arizona, New Mexico and Texas) which, together, include 360 counties. The Behavioral Risk Factor Surveillance System database for these four states covering the period of 2000 to 2011 was used in this analysis, and a Bayesian structured additive regression model was applied to analyse by a geographical information system. After adjusting for individual characteristics, socioeconomic status and health behaviour, this study found higher odds associated with asthma and a likely cluster around the Bay Area in California, while lower odds appeared in several counties around the larger cities of Texas, such as Dallas, Houston and San Antonio. The significance map shows 43 of 360 counties (11.9%) to be high-risk areas for asthma. The level of geographical disparities demonstrates that the county risk of asthma prevalence varies significantly and can be about 19.9% (95% confidence interval: 15.3-25.8) higher or lower than the overall asthma prevalence. We provide an efficient method to utilise and interpret the existing surveillance data on asthma. Visualisation by maps may help deliver future interventions on targeted areas and vulnerable populations to reduce geographical disparities in the burden of asthma.

Geographic Variation in Oxaliplatin Chemotherapy and Survival in Patients With Colon Cancer.

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Panchal, Janki M; Lairson, David R; Chan, Wenyaw; Du, Xianglin L

2016-01-01

Geographic disparity in colon cancer survival has received less attention, despite the fact that health care delivery varied across regions. To examine geographic variation in colon cancer survival and explore factors affecting this variation, including the use of oxaliplatin chemotherapy, we studied cases with resected stage-III colon cancer in 2004-2009, identified from the Surveillance, Epidemiology and End Results-Medicare linked database. Cox proportional hazard model was used to estimate the effect of oxaliplatin-containing chemotherapy on survival across regions. Propensity score adjustments were made to control for potential selection bias and confounding. Rural regions showed lowest 3-year survival, whereas big metro regions showed better 3-year survival rate than any other region (67.3% in rural regions vs. 69.5% in big metro regions). Hazard ratio for patients residing in metro region was comparable with those residing in big metro region (1.27, 95% confidence interval: 0.90-1.80). However, patients residing in urban area were exhibiting lower mortality than those in other regions, although not statistically significant. Patients who received oxaliplatin chemotherapy were 23% significantly less likely to die of cancer than those received 5-fluorouracil only chemotherapy (adjusted hazard ratio = 0.77, 95% confidence interval: 0.63-0.95). In conclusion, there were some differences in survival across geographic regions, which were not statistically significant after adjusting for sociodemographic, tumor, chemotherapy, and other treatment characteristics. Oxaliplatin chemotherapy was associated with improved survival outcomes compared with 5-fluorouracil only chemotherapy across regions. Further studies may evaluate other factors and newer chemotherapy regimens on mortality/survival of older patients.

Geographically selective assortment of cycles in pandemics: meta-analysis of data collected by Chizhevsky.

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Gumarova, L; Cornélissen, G; Hillman, D; Halberg, F

2013-10-01

In the incidence patterns of cholera, diphtheria and croup during the past when they were of epidemic proportions, we document a set of cycles (periods), one of which was reported and discussed by A. L. Chizhevsky in the same data with emphasis on the mirroring in human disease of the ~11-year sunspot cycle. The data in this study are based on Chizhevsky’s book The Terrestrial Echo of Solar Storms and on records from the World Health Organization. For meta-analysis, we used the extended linear and nonlinear cosinor. We found a geographically selective assortment of various cycles characterizing the epidemiology of infections, which is the documented novel topic of this paper, complementing the earlier finding in the 21st century or shortly before, of a geographically selective assortment of cycles characterizing human sudden cardiac death. Solar effects, if any, interact with geophysical processes in contributing to this assortment.

Geographical Clusters and Predictors of Rabies in Three Southeastern States.

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Reilly, Sara; Sanderson, Wayne T; Christian, W Jay; Browning, Steven R

2017-06-01

The rabies virus causes progressive encephalomyelitis that is fatal in nearly 100% of untreated cases. In the United States, wildlife act as the primary reservoir for rabies; prevention, surveillance, and control costs remain high. The purpose of this study is to understand the current distribution of wildlife rabies in three southeastern states, with particular focus on raccoons as the primary eastern reservoir, as well as identify demographic and geographic factors which may affect the risk of human exposure. This ecologic study obtained county-level rabies surveillance data from state health departments and the United States Department of Agriculture Wildlife services for North Carolina, Virginia, and West Virginia from 2010 to 2013. A spatial statistical analysis was performed to identify county clusters with high or low rates of raccoon rabies in the three states. Potential demographic and geographic factors associated with these varying rates of rabies were assessed using a multivariable negative binomial regression model. In North Carolina, raccoons constituted 50% of positive tests, in Virginia, 49%, and in West Virginia, 50%. Compared to persons residing in West Virginia counties, persons in North Carolina counties had 1.67 times the risk of exposure (p rabies exposure. Further research is needed to better understand the effect of the oral rabies vaccine program in controlling the risk of human exposure to raccoon rabies.

Louisiana State Soil Geographic, General Soil Map, Geographic NAD83, NWRC (1998) [statsgo_soils_NWRC_1998

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Louisiana Geographic Information Center — This data set contains vector line map information. The vector data contain selected base categories of geographic features, and characteristics of these features,...

Childhood Vitamin A Capsule Supplementation Coverage in Nigeria: A Multilevel Analysis of Geographic and Socioeconomic Inequities

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Olatunde Aremu

2010-01-01

Full Text Available Vitamin A deficiency (VAD is a huge public health burden among preschool-aged children in sub-Saharan Africa, and is associated with a high level of susceptibility to infectious diseases and pediatric blindness. We examined the Nigerian national vitamin A capsule (VAC supplementation program, a short-term cost-effective intervention for prevention of VAD-associated morbidity for equity in terms of socioeconomic and geographic coverage. Using the most current, nationally representative data from the 2008 Nigerian Demographic and Health Survey, we applied multilevel regression analysis on 19,555 children nested within 888 communities across the six regions of Nigeria. The results indicate that there was variability in uptake of VAC supplement among the children, which could be attributed to several characteristics at individual, household, and community levels. Individual-level characteristics, such as maternal occupation, were shown to be associated with receipt of VAC supplement. The results also reveal that household wealth status is the only household-level characteristic that is significantly associated with receipt of VAC, while neighborhood socioeconomic disadvantage and geographic location were the community-level characteristics that determined receipt of VAC. The findings from this study have shown that both individual and contextual socioeconomic status, together with geographic location, is important for uptake of VAC. These findings underscore the need to accord the VAC supplementation program the much needed priority with focus on characteristics of neighborhoods (communities, in addition to individual-level characteristics.

Geographic Variation Immediate and Delayed Breast Reconstruction Utilization in Ontario, Canada and Plastic Surgeon Availability: A Population-Based Observational Study.

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Platt, Jennica; Zhong, Toni; Moineddin, Rahim; Booth, Gillian L; Easson, Alexandra M; Fernandes, Kimberly; Gozdyra, Peter; Baxter, Nancy N

2015-08-01

Utilization of breast reconstruction (BR) is low in many jurisdictions. We studied the geographical and surgical workforce factors that contribute to access and use of BR using a small area analysis approach with a geographical unit of analysis. We linked administrative data from Ontario Canada to calculate the age-standardized rates for immediate BR (IBR) (same time as mastectomy) between 2002 and 2011, and delayed BR (DBR) (within 3 years of mastectomy) for each county. The influence of plastic surgeon access on variation in county rates of BR was examined using Poisson random effects models. 12,663 women underwent mastectomy in Ontario; 2,948 had BR within 3 years (23.3%). Over 50% of the counties had no access to any plastic surgeon. County IBR rates ranged from 0 to 21.5%; plastic surgeon access explained 46% of geographic variation (pplastic surgeons were significantly less than counties with high access (relative rate [RR] 0.48 [95% confidence interval (CI) 0.35-0.66], RR 0.61 [CI 0.43-0.87] and RR 0.70 [CI 0.52-0.96], respectively) after adjusting for age and county socioeconomic characteristics. For DBR, while there was less geographic variation, very low access counties demonstrated reduced rates (RR 0.60 [CI 0.47-0.76]). Geographic access to a plastic surgeon is a major determinant of BR. Targeted interventions for regions without high access to plastic surgeons may improve overall rates and reduce geographic disparities in care, particularly for IBR.

Geographic Variations of Colorectal and Breast Cancer Late-Stage Diagnosis and the Effects of Neighborhood-Level Factors.

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Lin, Yan; Wimberly, Michael C

2017-04-01

The purpose of this study was to examine the geographic variations of late-stage diagnosis in colorectal cancer (CRC) and breast cancer as well as to investigate the effects of 3 neighborhood-level factors-socioeconomic deprivation, urban/rural residence, and spatial accessibility to health care-on the late-stage risks. This study used population-based South Dakota cancer registry data from 2001 to 2012. A total of 4,878 CRC cases and 6,418 breast cancer cases were included in the analyses. Two-level logistic regression models were used to analyze the risk of late-stage CRC and breast cancer. For CRC, there was a small geographic variation across census tracts in late-stage diagnosis, and residing in isolated small rural areas was significantly associated with late-stage risk. However, this association became nonsignificant after adjusting for census-tract level socioeconomic deprivation. Socioeconomic deprivation was an independent predictor of CRC late-stage risk, and it explained the elevated risk among American Indians. No relationship was found between spatial accessibility and CRC late-stage risk. For breast cancer, no geographic variation in the late-stage diagnosis was observed across census tracts, and none of the 3 neighborhood-level factors was significantly associated with late-stage risk. Results suggested that socioeconomic deprivation, rather than spatial accessibility, contributed to CRC late-stage risks in South Dakota as a rural state. CRC intervention programs could be developed to target isolated small rural areas, socioeconomically disadvantaged areas, as well as American Indians residing in these areas. © 2016 National Rural Health Association.

Sirenomelia in Argentina: Prevalence, geographic clusters and temporal trends analysis.

Science.gov (United States)

Groisman, Boris; Liascovich, Rosa; Gili, Juan Antonio; Barbero, Pablo; Bidondo, María Paz

2016-07-01

Sirenomelia is a severe malformation of the lower body characterized by a single medial lower limb and a variable combination of visceral abnormalities. Given that Sirenomelia is a very rare birth defect, epidemiological studies are scarce. The aim of this study is to evaluate prevalence, geographic clusters and time trends of sirenomelia in Argentina, using data from the National Network of Congenital Anomalies of Argentina (RENAC) from November 2009 until December 2014. This is a descriptive study using data from the RENAC, a hospital-based surveillance system for newborns affected with major morphological congenital anomalies. We calculated sirenomelia prevalence throughout the period, searched for geographical clusters, and evaluated time trends. The prevalence of confirmed cases of sirenomelia throughout the period was 2.35 per 100,000 births. Cluster analysis showed no statistically significant geographical aggregates. Time-trends analysis showed that the prevalence was higher in years 2009 to 2010. The observed prevalence was higher than the observed in previous epidemiological studies in other geographic regions. We observed a likely real increase in the initial period of our study. We used strict diagnostic criteria, excluding cases that only had clinical diagnosis of sirenomelia. Therefore, real prevalence could be even higher. This study did not show any geographic clusters. Because etiology of sirenomelia has not yet been established, studies of epidemiological features of this defect may contribute to define its causes. Birth Defects Research (Part A) 106:604-611, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Text messaging in health care: a systematic review of impact studies.

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Yeager, Valerie A; Menachemi, Nir

2011-01-01

Studies suggest text messaging is beneficial to health care; however, no one has synthesized the overall evidence on texting interventions. In response to this need, we conducted a systematic review of the impacts of text messaging in health care. PubMed database searches and subsequent reference list reviews sought English-language, peer-reviewed studies involving text messaging in health care. Commentaries, conference proceedings, and feasibilities studies were excluded. Data was extracted using an article coding sheet and input into a database for analysis. Of the 61 papers reviewed, 50 articles (82%) found text messaging had a positive effect on the primary outcome. Average sample sizes in articles reporting positive findings (n=813) were significantly larger than those that did not find a positive impact (n=178) on outcomes (p = 0.032). Articles were categorized into focal groups as follows: 27 articles (44.3%) investigated the impact of texting on disease management, 24 articles (39.3%) focused texting's impact to public health related outcomes, and 10 articles (16.4%) examined texting and its influence on administrative processes. Articles in focal groups differed by the purpose of the study, direction of the communication, and where they were published, but not in likelihood of reporting a positive impact from texting. Current evidence indicates that text messaging health care interventions are largely beneficial clinically, in public health related uses, and in terms of administrative processes. However, despite the promise of these findings, literature gaps exist, especially in primary care settings, across geographic regions and with vulnerable populations.

Racial and geographic variation in coronary heart disease mortality trends

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Gillum Richard F

2012-06-01

Full Text Available Abstract Background Magnitudes, geographic and racial variation in trends in coronary heart disease (CHD mortality within the US require updating for health services and health disparities research. Therefore the aim of this study is to present data on these trends through 2007. Methods Data for CHD were analyzed using the US mortality files for 1999–2007 obtained from the US Centers for Disease Control and Prevention. Age-adjusted annual death rates were computed for non-Hispanic African Americans (AA and European Americans (EA aged 35–84 years. The direct method was used to standardize rates by age, using the 2000 US standard population. Joinpoint regression models were used to evaluate trends, expressed as annual percent change (APC. Results For both AA men and women the magnitude in CHD mortality is higher compared to EA men and women, respectively. Between 1999 and 2007 the rate declined both in AA and in EA of both sexes in every geographic division; however, relative declines varied. For example, among men, relative average annual declines ranged from 3.2% to 4.7% in AA and from 4.4% to 5.5% in EA among geographic divisions. In women, rates declined more in later years of the decade and in women over 54 years. In 2007, age-adjusted death rate per 100,000 for CHD ranged from 93 in EA women in New England to 345 in AA men in the East North Central division. In EA, areas near the Ohio and lower Mississippi Rivers had above average rates. Disparities in trends by urbanization level were also found. For AA in the East North Central division, the APC was similar in large central metro (−4.2, large fringe metro (−4.3, medium metro urbanization strata (−4.4, and small metro (−3.9. APC was somewhat higher in the micropolitan/non-metro (−5.3, and especially the non-core/non-metro (−6.5. For EA in the East South Central division, the APC was higher in large central metro (−5.3, large fringe metro (−4.3 and medium metro

Social deprivation and exposure to health promotion. A study of the distribution of health promotion resources to schools in England.

Science.gov (United States)

Chivu, Corina M; Reidpath, Daniel D

2010-08-10

Area deprivation is a known determinant of health. It is also known that area deprivation is associated with lower impact health promotion. It is less well known, however, whether deprived areas are less responsive to health promotion, or whether they are less exposed. Using data from a national, school-based campaign to promote vaccination against the human papilloma virus (HPV), the relationship between area deprivation and exposure was examined. Taking advantage of a health promotion campaign to provide information to schools about HPV vaccination, a cross sectional study was conducted to examine the relationship between area level, social deprivation, and take-up of (i.e., exposure to) available health promotion material. The sample was 4,750 schools across England, including government maintained and independent schools. The relationship between area deprivation and exposure was examined using bi- and multivariate logistic regression. It was found that schools in the least deprived quintile had 1.32 times the odds of requesting health promotion materials than schools in the most deprived areas (p = .01). This effect was independent of the school size, the type of school, and the geographic region. The relationship between area deprivation and the impact of health promotion may be due, at least in part, to differential levels of exposure. The study was limited in scope, pointing to the need for more research, but also points to potentially important policy implications.

GIS: A Spatial Turn in the Health Science?

DEFF Research Database (Denmark)

Schipperijn, Jasper; Ejstrud, Bo; Troelsen, Jens

2013-01-01

In recent years health science seems to have taken a “spatial turn” with a renewed interest in spatially oriented research. There are a number of reasons behind this rediscovery of “the power of maps”. One of the predominant drivers has been the development of Geographical Information Systems (GIS......), software systems that can handle geographically referenced data. GIS is a very helpful tool to characterise neighbourhoods for a wide range of health-related studies. However, neighbourhoods can be defined in many different ways, and modifying the area unit used to delineate a neighbourhood affects...

Methodological development for 87Sr/86Sr measurement in olive oil and preliminary discussion of its use for geographical traceability of PDO Nîmes (France).

Science.gov (United States)

Medini, Salim; Janin, Myriam; Verdoux, Patrick; Techer, Isabelle

2015-03-15

The lack of a geographical identification protocol for olive oils can lead to fraud and health risks. As some works call for Sr isotopes for the geographical identification of agri-food products, this study focus on the feasibility of extracting Sr from olive oils for isotopic measurements by TIMS. In fact, existing protocols for purification of Sr are unsuitable for lipid matrix. The defined protocol is applied to samples of PDO Nîmes olive oil. The accuracy of the extraction procedure is tested against isotopic standards. The values obtained are in conformity with NIST certified values. This consistency demonstrates that no modification of (87)Sr/(86)Sr ratio is brought about by this protocol. Consequently, the method is preliminary used on PDO Nîmes and Moroccan oils to evaluate the feasibility of a discriminant Sr signature on the two geographical products. This study provides promising results for the geographical discrimination and identification of PDO olive oils. Copyright © 2014 Elsevier Ltd. All rights reserved.

Meta-analysis Number of Plants Drugs Used by Characteristics Socioeconomic Factors, Environmental and Geographic

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Febiola Diah Pratiwi

2017-09-01

Full Text Available Ethnobotany is the study of public relations with the use of plants. Use of plants by people influenced by several factors, such as social, cultural, socioeconomic, and geographic. Most of the ethnicities in Indonesia has a high dependence on plants medicine for survival. However, the factors that influence the use of medicinal plants by people in Indonesia have not been studied, so that research is needed to optimize the use of medicinal plants to sustainability benefits. The purpose of this study is to analyze the number of species of plants medicine used by the influence of socio-economic, environmental, and geographic factors using principal component analysis and analyzing patterns of use of plants medicine. The results showed that the economy and infrastructure components (access to electricity, means of education, income level, health facilities, distance from the highway, remoteness, and the fastest time toward the road and the number of people graduating from elementary school affect the number of medicinal plant species used. Based on the results of the study of literature and field observations, the pattern of use of plants medicine in addition to be used as medicine, the plant is used for food, building materials, plant ornamental, ceremonial, wood, wicker and crafts, coloring agents, animal feed, ingredients aromatic, and pesticide. The usage patterns in each region or village has the distinction of which is influenced by the remoteness factor due to the differences in the social, economic, environmental, and geographic.  Keywords: ethnobotany, plants medicine, principal component analysis

Geographical cost-supply analysis forest biomass for distributed generation in Denmark

DEFF Research Database (Denmark)

Möller, Bernd

2004-01-01

The article presents a study which uses geographical information system (GIS) to perform cost-supply analysis of wood chips resources for energy production.......The article presents a study which uses geographical information system (GIS) to perform cost-supply analysis of wood chips resources for energy production....

Geographic Mobility and Social Inequality among Peruvian University Students

Science.gov (United States)

Wells, Ryan; Cuenca, Ricardo; Blanco Ramirez, Gerardo; Aragón, Jorge

2018-01-01

The purpose of this study was to explore geographic mobility among university students in Peru and to understand how mobility patterns differ by region and by demographic indicators of inequality. The ways that students may be able to move geographically in order to access quality higher education within the educational system can be a driver of…

Determinants of Dentists' Geographic Distribution.

Science.gov (United States)

Beazoglou, Tryfon J.; And Others

1992-01-01

A model for explaining the geographic distribution of dentists' practice locations is presented and applied to particular market areas in Connecticut. Results show geographic distribution is significantly related to a few key variables, including demography, disposable income, and housing prices. Implications for helping students make practice…

Maternal education and micro-geographic disparities in nutritional status among school-aged children in rural northwestern China.

Science.gov (United States)

Wang, Cuili; Kane, Robert L; Xu, Dongjuan; Li, Lingui; Guan, Weihua; Li, Hui; Meng, Qingyue

2013-01-01

Prior evidence suggests geographic disparities in the effect of maternal education on child nutritional status between countries, between regions and between urban and rural areas. We postulated its effect would also vary by micro-geographic locations (indicated by mountain areas, plain areas and the edge areas) in a Chinese minority area. A cross-sectional study was conducted with a multistage random sample of 1474 school children aged 5-12 years in Guyuan, China. Child nutritional status was measured by height-for-age z scores (HAZ). Linear mixed models were used to examine its association with place of residence and maternal education. Micro-geographic disparities in child nutritional status and the level of socioeconomic composition were found. Children living in mountain areas had poorer nutritional status, even after adjusting for demographic (plain versus mountain, β = 0.16, P = 0.033; edge versus mountain, β = 0.29, P = 0.002) and socioeconomic factors (plain versus mountain, β = 0.12, P = 0.137; edge versus mountain, β = 0.25, P = 0.009). The disparities significantly widened with increasing years of mothers' schooling (maternal education*plain versus mountain: β = 0.06, P = 0.007; maternal education*edge versus mountain: β = 0.07, P = 0.005). Moreover, the association between maternal education and child nutrition was negative (β = -0.03, P = 0.056) in mountain areas but positive in plain areas (β = 0.02, P = 0.094) or in the edge areas (β = 0.04, P = 0.055). Micro-geographic disparities in child nutritional status increase with increasing level of maternal education and the effect of maternal education varies by micro-geographic locations, which exacerbates child health inequity. Educating rural girls alone is not sufficient; improving unfavorable conditions in mountain areas might make such investments more effective in promoting child health. Nutrition programs targeting to the least educated groups in plain and in edge areas would be

The use of geographical information systems in socio-economic studies

OpenAIRE

Daplyn, P.; Cropley, J.; Treagust, S.; Gordon, A.

1994-01-01

Geographical information systems (GIS) have found wide and growing applications, as digital remote-sensing data and computer technology have become more sophisticated, more easily available and less expensive. NRI recently undertook preliminary research into potential socio-economic applications of GIS. The feasibility of utilizing spatial data, available in GIS, to model socio-economic relationships was examined. It included the following steps: (a) identification of hypothetical relationshi...

Potential of geographical variation analysis for realigning providers to value-based care. ECHO case study on lower-value indications of C-section in five European countries.

Science.gov (United States)

García-Armesto, Sandra; Angulo-Pueyo, Ester; Martínez-Lizaga, Natalia; Mateus, Céu; Joaquim, Inês; Bernal-Delgado, Enrique

2015-02-01

Although C-section is a highly effective procedure, literature abounds with evidence of overuse and particularly misuse, in lower-value indications such as low-risk deliveries. This study aims to quantify utilization of C-section in low-risk cases, mapping out areas showing excess-usage in each country and to estimate excess-expenditure as a proxy of the opportunity cost borne by healthcare systems. Observational, ecologic study on deliveries in 913 sub-national administrative areas of five European countries (Denmark, England, Portugal, Slovenia and Spain) from 2002 to 2009. The study includes a cross-section analysis with 2009 data and a time-trend analysis for the whole period. Main endpoints: age-standardized utilization rates of C-section in low-risk pregnancies and deliveries per 100 deliveries. Secondary endpoints: Estimated excess-cases per geographical unit of analysis in two scenarios of minimized utilization. C-section is widely used in all examined countries (ranging from 19% of Slovenian deliveries to 33% of deliveries in Portugal). With the exception of Portugal, there are no systematic variations in intensity of use across areas in the same country. Cross-country comparison of lower-value C-section leaves Denmark with 10% and Portugal with 2%, the highest and lowest. Such behaviour was stable over the period of analysis. Within each country, the scattered geographical patterns of use intensity speak for local drivers playing a major role within the national trend. The analysis conducted suggests plenty of room for enhancing value in obstetric care and equity in women's access to such within the countries studied. The analysis of geographical variations in lower-value care can constitute a powerful screening tool. © The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

GIS in the Classroom: Using Geographic Information Systems in Social Studies and Environmental Science. [with CD-ROM].

Science.gov (United States)

Alibrandi, Marsha

Geographic Information Systems (GIS) is a computer application for urban planning, weather reporting, and geological and demographic studies. This book takes teachers and students to the cutting edge of teaching social studies and environmental education using GIS. Students can use GIS as a tool to explore, question, integrate, analyze, interpret,…

Gis and public health

CERN Document Server

Cromley, Ellen K

2011-01-01

Authoritative and comprehensive, this is the leading text and professional resource on using geographic information systems (GIS) to analyze and address public health problems. Basic GIS concepts and tools are explained, including ways to access and manage spatial databases. The book presents state-of-the-art methods for mapping and analyzing data on population, health events, risk factors, and health services, and for incorporating geographical knowledge into planning and policy. Numerous maps, diagrams, and real-world applications are featured. The companion Web page provides lab exercises w

An Introduction to Macro- Level Spatial Nonstationarity: a Geographically Weighted Regression Analysis of Diabetes and Poverty.

Science.gov (United States)

Siordia, Carlos; Saenz, Joseph; Tom, Sarah E

2012-01-01

Type II diabetes is a growing health problem in the United States. Understanding geographic variation in diabetes prevalence will inform where resources for management and prevention should be allocated. Investigations of the correlates of diabetes prevalence have largely ignored how spatial nonstationarity might play a role in the macro-level distribution of diabetes. This paper introduces the reader to the concept of spatial nonstationarity-variance in statistical relationships as a function of geographical location. Since spatial nonstationarity means different predictors can have varying effects on model outcomes, we make use of a geographically weighed regression to calculate correlates of diabetes as a function of geographic location. By doing so, we demonstrate an exploratory example in which the diabetes-poverty macro-level statistical relationship varies as a function of location. In particular, we provide evidence that when predicting macro-level diabetes prevalence, poverty is not always positively associated with diabetes.

Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics.

Science.gov (United States)

Torous, John; Chan, Steven Richard; Yee-Marie Tan, Shih; Behrens, Jacob; Mathew, Ian; Conrad, Erich J; Hinton, Ladson; Yellowlees, Peter; Keshavan, Matcheri

2014-01-01

Despite growing interest in mobile mental health and utilization of smartphone technology to monitor psychiatric symptoms, there remains a lack of knowledge both regarding patient ownership of smartphones and their interest in using such to monitor their mental health. To provide data on psychiatric outpatients' prevalence of smartphone ownership and interest in using their smartphones to run applications to monitor their mental health. We surveyed 320 psychiatric outpatients from four clinics around the United States in order to capture a geographically and socioeconomically diverse patient population. These comprised a state clinic in Massachusetts (n=108), a county clinic in California (n=56), a hybrid public and private clinic in Louisiana (n=50), and a private/university clinic in Wisconsin (n=106). Smartphone ownership and interest in utilizing such to monitor mental health varied by both clinic type and age with overall ownership of 62.5% (200/320), which is slightly higher than the average United States' rate of ownership of 58% in January 2014. Overall patient interest in utilizing smartphones to monitor symptoms was 70.6% (226/320). These results suggest that psychiatric outpatients are interested in using their smartphones to monitor their mental health and own the smartphones capable of running mental healthcare related mobile applications.

[Multicriteria evaluation of environmental risk exposure using a geographic information system in Argentina].

Science.gov (United States)

Pietri, Diana De; Dietrich, Patricia; Mayo, Patricia; Carcagno, Alejandro

2011-10-01

Develop a spatial model that includes environmental factors posing a health hazard, for application in the Matanza-Riachuelo River Basin (MRB) in Argentina. Multicriteria evaluation procedures were used with geographic information systems to obtain territorial zoning based on the degree of suitability for residence. Variables that characterize the habitability of housing and potential sources of basin pollution were geographically referenced. Health information was taken from the Risk Factor Survey (RFS) to measure the relative risk of living in unsuitable areas (exposed population) compared with suitable areas (unexposed population). Sixty percent of the MRB area is in suitable condition, a situation that affects 40% of residents. The rest of the population lives in unsuitable territory, and 6% live in the basin's most unsuitable conditions. Environmental conditions that are detrimental to health in the unsuitable areas became evident during the interviews through three of the pathologies considered: diarrheal diseases, respiratory diseases, and cancer. A regional analysis that provides valid information to support decisionmaking was obtained. Considering the basin as a unit of analysis allowed the use of a single protocol to undertake comprehensive measurement of the magnitude of risk and, thus, set priorities.

[Temporal variation and geographical distribution: congenital heart defects in the Comunitat Valenciana].

Science.gov (United States)

Cavero Carbonell, C; Zurriaga, O; Pérez Panadés, J; Barona Vilar, C; Martos Jiménez, C

2013-09-01

The objective of this study is to estimate the prevalence of congenital heart defects (CHD) in the Comunitat Valenciana (CV) in children less than one year old and identify whether there are temporal and geographic variations within this prevalence. The minimum basic data set from hospital discharge reports was used to select patients, who were born between 1999-2008, were less than one year old, and who lived in the CV with at least one hospital admission in which the primary diagnosis and/or any of the events were coded as CHD (codes 745-747 of the International Classification of Diseases 9th Revision Clinical Modification). The first hospital discharge report with CHD was selected, using the health card number to detect duplication. The prevalence and 95% confidence intervals were calculated, and the prevalence ratio (PR) and smoothed PR was obtained for each municipality to identify geographic patterns. In the period 1999-2008 there were 6.377 patients younger than one year with some CHD, representing the 43.2% of cases of congenital anomalies. The prevalence was 134.3 per 10.000 live births (95% CI: 131.1-137.6). There was a significant increase in the prevalence, from 115.8 in the 1999-2003 period to 149.5 in the 2004-2008 period. A higher risk was identified in the north of the CV, and in some municipalities of the province of Alicante, in the south. The observed increase in CHD agrees with the findings in other countries and it can be explained, at least in part, by improved diagnostic techniques. The geographic pattern identified requires a more detailed analysis that could explain the geographic variations found. Copyright © 2012 Asociación Española de Pediatría. Published by Elsevier Espana. All rights reserved.

Formal Ontologies and Uncertainty. In Geographical Knowledge

Directory of Open Access Journals (Sweden)

Matteo Caglioni

2014-05-01

Full Text Available Formal ontologies have proved to be a very useful tool to manage interoperability among data, systems and knowledge. In this paper we will show how formal ontologies can evolve from a crisp, deterministic framework (ontologies of hard knowledge to new probabilistic, fuzzy or possibilistic frameworks (ontologies of soft knowledge. This can considerably enlarge the application potential of formal ontologies in geographic analysis and planning, where soft knowledge is intrinsically linked to the complexity of the phenomena under study.  The paper briefly presents these new uncertainty-based formal ontologies. It then highlights how ontologies are formal tools to define both concepts and relations among concepts. An example from the domain of urban geography finally shows how the cause-to-effect relation between household preferences and urban sprawl can be encoded within a crisp, a probabilistic and a possibilistic ontology, respectively. The ontology formalism will also determine the kind of reasoning that can be developed from available knowledge. Uncertain ontologies can be seen as the preliminary phase of more complex uncertainty-based models. The advantages of moving to uncertainty-based models is evident: whether it is in the analysis of geographic space or in decision support for planning, reasoning on geographic space is almost always reasoning with uncertain knowledge of geographic phenomena.

Ciguatoxic Potential of Brown-Marbled Grouper in Relation to Fish Size and Geographical Origin

Science.gov (United States)

Chan, Thomas Y. K.

2015-01-01

To determine the ciguatoxic potential of brown-marbled grouper (Epinephelus fuscoguttatus) in relation to fish size and geographical origin, this review systematically analyzed: 1) reports of large ciguatera outbreaks and outbreaks with description of the fish size; 2) Pacific ciguatoxin (P-CTX) profiles and levels and mouse bioassay results in fish samples from ciguatera incidents; 3) P-CTX profiles and levels and risk of toxicity in relation to fish size and origin; 4) regulatory measures restricting fish trade and fish size preference of the consumers. P-CTX levels in flesh and size dependency of toxicity indicate that the risk of ciguatera after eating E. fuscoguttatus varies with its geographical origin. For a large-sized grouper, it is necessary to establish legal size limits and control measures to protect public health and prevent overfishing. More risk assessment studies are required for E. fuscoguttatus to determine the size threshold above which the risk of ciguatera significantly increases. PMID:26324735

The Influence of Technology on Geographic Cognition and Tourism Experience

DEFF Research Database (Denmark)

Tussyadiah, Iis; Zach, Florian

2011-01-01

Tourists today have access to retrieve voluminous geographic information about destinations while travelling as various context-aware geographic technologies have become increasingly ubiquitous. These technologies are suggested to aid tourists in the process of destination consumption to gain...... meaningful tourism experiences. This study found that people using different types of technologies for everyday routine perceive that these technologies help them with spatial inference to acquire geographic information; making sense of direction and orientation, and interacting with and within places....... Further, within the travel context, geographic technology was found to influence the dimensions of sensory, affective and social experience, as well as the cognitive and bodily experience. The type of technology used for travel was also found to be a significant predictor of the sensory, affective...

Combining Land Capability Evaluation, Geographic Information ...

African Journals Online (AJOL)

Combining Land Capability Evaluation, Geographic Information Systems, AnD Indigenous Technologies for Soil Conservation in Northern Ethiopia. ... Land capability and land use status were established following the procedures of a modified treatment-oriented capability classification using GIS. The case study ...

Geographic Names Information System (GNIS) Structures

Data.gov (United States)

Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

A barcode of organellar genome polymorphisms identifies the geographic origin of Plasmodium falciparum strains

KAUST Repository

Preston, Mark D.

2014-06-13

Malaria is a major public health problem that is actively being addressed in a global eradication campaign. Increased population mobility through international air travel has elevated the risk of re-introducing parasites to elimination areas and dispersing drug-resistant parasites to new regions. A simple genetic marker that quickly and accurately identifies the geographic origin of infections would be a valuable public health tool for locating the source of imported outbreaks. Here we analyse the mitochondrion and apicoplast genomes of 711 Plasmodium falciparum isolates from 14 countries, and find evidence that they are non-recombining and co-inherited. The high degree of linkage produces a panel of relatively few single-nucleotide polymorphisms (SNPs) that is geographically informative. We design a 23-SNP barcode that is highly predictive (?92%) and easily adapted to aid case management in the field and survey parasite migration worldwide. 2014 Macmillan Publishers Limited. All rights reserved.

A barcode of organellar genome polymorphisms identifies the geographic origin of Plasmodium falciparum strains

KAUST Repository

Preston, Mark D.; Campino, Susana; Assefa, Samuel A.; Echeverry, Diego F.; Ocholla, Harold; Amambua-Ngwa, Alfred; Stewart, Lindsay B.; Conway, David J.; Borrmann, Steffen; Michon, Pascal; Zongo, Issaka; Oué draogo, Jean-Bosco; Djimde, Abdoulaye A.; Doumbo, Ogobara K.; Nosten, Francois; Pain, Arnab; Bousema, Teun; Drakeley, Chris J.; Fairhurst, Rick M.; Sutherland, Colin J.; Roper, Cally; Clark, Taane G.

2014-01-01

Malaria is a major public health problem that is actively being addressed in a global eradication campaign. Increased population mobility through international air travel has elevated the risk of re-introducing parasites to elimination areas and dispersing drug-resistant parasites to new regions. A simple genetic marker that quickly and accurately identifies the geographic origin of infections would be a valuable public health tool for locating the source of imported outbreaks. Here we analyse the mitochondrion and apicoplast genomes of 711 Plasmodium falciparum isolates from 14 countries, and find evidence that they are non-recombining and co-inherited. The high degree of linkage produces a panel of relatively few single-nucleotide polymorphisms (SNPs) that is geographically informative. We design a 23-SNP barcode that is highly predictive (?92%) and easily adapted to aid case management in the field and survey parasite migration worldwide. 2014 Macmillan Publishers Limited. All rights reserved.

SCHOOL LINGUISTIC CREATIVITY BASED ON SCIENTIFIC GEOGRAPHICAL TEXTS

Directory of Open Access Journals (Sweden)

VIORICA BLÎNDĂ

2012-01-01

Full Text Available The analysis and observation of the natural environment and of the social and economic one, observing phenomena, objects, beings, and geographical events are at the basis of producing geographical scientific texts. The symbols of iconotexts and cartotexts are another source of inspiration for linguistic interpretation. The linguistic creations that we selected for our study are the scientific analysis, the commentary, the characterization, the parallel, the synthesis, epitomizing and abstracting, the scientific communication, the essay, and the scientific description. The representations on maps, photos, graphics and profiles are translated into verbal or written expression in order to render geographical scientific information from diagrams and images through diverse discursive procedures. Through school linguistic creations, teachers develop their students’ observation spirit, in a written and oral form, their geographical thinking through metaphors, they develop and stimulate their students’ imagination and fantasy, their cognitive, reflexive and affective sensitivity, their abilities to express themselves, to present and argument in a scientific way according to different criteria (sufficiency, demonstrative reasoning, lineal reasoning, pros and cons, giving examples, inferential deduction through using truth tables, etc.. Trough description, students give names and define geographical objects and beings (plants, animals, and people according to their form and aspect, they explain toponyms and appellatives, they classify and make hierarchies, they define their identity through processes of differentiation, emblematizing, personification, location in time and space.

A study on the equality and benefit of China's national health care system.

Science.gov (United States)

Zhai, Shaoguo; Wang, Pei; Dong, Quanfang; Ren, Xing; Cai, Jiaoli; Coyte, Peter C

2017-08-29

This study is designed to evaluate whether the benefit which the residents received from the national health care system is equal in China. The perceived equality and benefit are used to measure the personal status of health care system, health status. This study examines variations in perceived equality and benefit of the national health care system between urban and rural residents from five cities of China and assessed their determinants. One thousand one hundred ninty eight residents were selected from a random survey among five nationally representative cities. The research characterizes perceptions into four population groupings based on a binary assessment of survey scores: high equality & high benefit; low equality & low benefit; high equality & low benefit; and low equality & high benefit. The distribution of the four groups above is 30.4%, 43.0%, 4.6% and 22.0%, respectively. Meanwhile, the type of health insurance, educational background, occupation, geographic regions, changes in health status and other factors have significant impacts on perceived equality and benefit derived from the health care system. The findings demonstrate wide variations in perceptions of equality and benefit between urban and rural residents and across population characteristics, leading to a perceived lack of fairness in benefits and accessibility. Opportunities exist for policy interventions that are targeted to eliminate perceived differences and promote greater equality in access to health care.

Development of a web based GIS for health facilities mapping ...

African Journals Online (AJOL)

Hilary Mushonga

Key Words: Spatial Decision Support System, Web GIS, Mapping, Health geography. 1. Introduction ... Health geography is an area of medical research that incorporates geographic techniques into the study of ... street water pump. Once the ...

EpiScanGIS: an online geographic surveillance system for meningococcal disease

Directory of Open Access Journals (Sweden)

Albert Jürgen

2008-07-01

Full Text Available Abstract Background Surveillance of infectious diseases increasingly relies on Geographic Information Systems (GIS. The integration of pathogen fine typing data in dynamic systems and visualization of spatio-temporal clusters are a technical challenge for system development. Results An online geographic information system (EpiScanGIS based on open source components has been launched in Germany in May 2006 for real time provision of meningococcal typing data in conjunction with demographic information (age, incidence, population density. Spatio-temporal clusters of disease detected by computer assisted cluster analysis (SaTScan™ are visualized on maps. EpiScanGIS enables dynamic generation of animated maps. The system is based on open source components; its architecture is open for other infectious agents and geographic regions. EpiScanGIS is available at http://www.episcangis.org, and currently has 80 registered users, mostly from the public health service in Germany. At present more than 2,900 cases of invasive meningococcal disease are stored in the database (data as of June 3, 2008. Conclusion EpiScanGIS exemplifies GIS applications and early-warning systems in laboratory surveillance of infectious diseases.

Geographical variation in dementia: systematic review with meta-analysis

Science.gov (United States)

Russ, Tom C; Batty, G David; Hearnshaw, Gena F; Fenton, Candida; Starr, John M

2012-01-01

Background Geographical variation in dementia prevalence and incidence may indicate important socio-environmental contributions to dementia aetiology. However, previous comparisons have been hampered by combining studies with different methodologies. This review systematically collates and synthesizes studies examining geographical variation in the prevalence and incidence of dementia based on comparisons of studies using identical methodologies. Methods Papers were identified by a comprehensive electronic search of relevant databases, scrutinising the reference sections of identified publications, contacting experts in the field and re-examining papers already known to us. Identified articles were independently reviewed against inclusion/exclusion criteria and considered according to geographical scale. Rural/urban comparisons were meta-analysed. Results Twelve thousand five hundred and eighty records were reviewed and 51 articles were included. Dementia prevalence and incidence varies at a number of scales from the national down to small areas, including some evidence of an effect of rural living [prevalence odds ratio (OR) = 1.11, 90% confidence interval (CI) 0.79–1.57; incidence OR = 1.20, 90% CI 0.84–1.71]. However, this association of rurality was stronger for Alzheimer disease, particularly when early life rural living was captured (prevalence OR = 2.22, 90% CI 1.19–4.16; incidence OR = 1.64, 90% CI 1.08–2.50). Conclusions There is evidence of geographical variation in rates of dementia in affluent countries at a variety of geographical scales. Rural living is associated with an increased risk of Alzheimer disease, and there is a suggestion that early life rural living further increases this risk. However, the fact that few studies have been conducted in resource-poor countries limits conclusions. PMID:22798662

Research and implementation of geographic information service mode in digital home

Science.gov (United States)

Lei, B.; Liu, K.; Gan, Y.; Zhong, M.

2014-04-01

Accompanying infrastructure improvements and networking technology innovation, the development of digital home service industry has gotten more and more attention. However, the digital home service levels have not sufficiently met rising demand from users. Therefore, it is urgent to propose and develop new service modes for the digital home. Geographic information services can provide various spatial information services such as map search, spatial information query. It has become an inevitable trend to implement geographic information services in the digital home. This paper proposes three new geographic information services modes for the digital home after sufficient requirement analysis: pushed information service mode, interactive information service mode, personalized information service mode. The key technologies to implement geographic information services on digital televisions are studied, involving digital television middleware technology, network transmission technology and visualization technology. According to the service modes' characteristics mentioned above, a service system in the digital home is established to implement geographic information services on the basis of digital television. The implementation of geographic information services in the digital home not only enriches the digital home services content, but also promotes geographic information from specialization to public popularity.

Ontology for cell-based geographic information

Science.gov (United States)

Zheng, Bin; Huang, Lina; Lu, Xinhai

2009-10-01

Inter-operability is a key notion in geographic information science (GIS) for the sharing of geographic information (GI). That requires a seamless translation among different information sources. Ontology is enrolled in GI discovery to settle the semantic conflicts for its natural language appearance and logical hierarchy structure, which are considered to be able to provide better context for both human understanding and machine cognition in describing the location and relationships in the geographic world. However, for the current, most studies on field ontology are deduced from philosophical theme and not applicable for the raster expression in GIS-which is a kind of field-like phenomenon but does not physically coincide to the general concept of philosophical field (mostly comes from the physics concepts). That's why we specifically discuss the cell-based GI ontology in this paper. The discussion starts at the investigation of the physical characteristics of cell-based raster GI. Then, a unified cell-based GI ontology framework for the recognition of the raster objects is introduced, from which a conceptual interface for the connection of the human epistemology and the computer world so called "endurant-occurrant window" is developed for the better raster GI discovery and sharing.

Geographic pathology of Helicobacter pylori gastritis

NARCIS (Netherlands)

Liu, Yi; Ponsioen, Cyriel I. J.; Xiao, Shu-Dong; Tytgat, Guido N. J.; ten Kate, Fiebo J. W.

2005-01-01

Background and aim. Helicobacter pylori is etiologically associated with gastritis and gastric cancer. There are significant geographical differences between the clinical manifestation of H. pylori infections. The aim of this study was to compare gastric mucosal histology in relation to age among H.

Effect of geographical and ethnic variation on Dysphonia Severity Index: a study of Indian population.

Science.gov (United States)

Jayakumar, T; Savithri, S R

2012-01-01

Dysphonia Severity Index (DSI) is a widely used multiparametric approach to objectively quantify the voice quality. Few research groups have investigated the test-retest, interobserver variability, and influence of age and gender. They have also verified the application of DSI in various voice rehabilitation conditions. However, all these studies have been conducted on European population. There is a possibility of variation in the basic parameters of DSI across geographical and ethnic groups. Hence, the present study evaluated DSI in Indian population. One hundred twenty voluntary participants (60 males, 60 females) who had G(0) on the Grade, Roughness, Breathiness, Aesthenia, Strain (GRBAS) scale participated in the study (age range of 18-25 years, M=21.8, standard deviation=2.7). Maximum phonation time (MPT), frequency intensity, and jitter measurements were made using CSL 4500 (Kay Elemetrics, Pine Brook, NJ). Results showed noticeable difference between Indian and European population on MPT, Highest frequency (F(0)-High), and DSI values. Significant gender difference was also observed on MPT and F(0)-High. Test-retest reliability showed >95% for all the parameters. The MPT decrement lead to a reduction in the overall DSI value in both the genders. These results of the study caution voice professionals to reinvestigate and establish their own norms for their geographical and ethnic groups. Copyright © 2012 The Voice Foundation. Published by Mosby, Inc. All rights reserved.

Geographic Disparity in the Use of Hypofractionated Radiation Therapy Among Elderly Women Undergoing Breast Conservation for Invasive Breast Cancer

International Nuclear Information System (INIS)

Gillespie, Erin F.; Matsuno, Rayna K.; Xu, Beibei; Triplett, Daniel P.; Hwang, Lindsay; Boero, Isabel J.; Einck, John P.; Yashar, Catheryn; Murphy, James D.

2016-01-01

Purpose: To evaluate geographic heterogeneity in the delivery of hypofractionated radiation therapy (RT) for breast cancer among Medicare beneficiaries across the United States. Methods and Materials: We identified 190,193 patients from the Centers for Medicare and Medicaid Services Chronic Conditions Warehouse. The study included patients aged >65 years diagnosed with invasive breast cancer treated with breast conservation surgery followed by radiation diagnosed between 2000 and 2012. We analyzed data by hospital referral region based on patient residency ZIP code. The proportion of women who received hypofractionated RT within each region was analyzed over the study period. Multivariable logistic regression models identified predictors of hypofractionated RT. Results: Over the entire study period we found substantial geographic heterogeneity in the use of hypofractionated RT. The proportion of women receiving hypofractionated breast RT in individual hospital referral regions varied from 0% to 61%. We found no correlation between the use of hypofractionated RT and urban/rural setting or general geographic region. The proportion of hypofractionated RT increased in regions with higher density of radiation oncologists, as well as lower total Medicare reimbursements. Conclusions: This study demonstrates substantial geographic heterogeneity in the use of hypofractionated RT among elderly women with invasive breast cancer treated with lumpectomy in the United States. This heterogeneity persists despite clinical data from multiple randomized trials proving efficacy and safety compared with standard fractionation, and highlights possible inefficiency in health care delivery.

Geographic Disparity in the Use of Hypofractionated Radiation Therapy Among Elderly Women Undergoing Breast Conservation for Invasive Breast Cancer

Energy Technology Data Exchange (ETDEWEB)

Gillespie, Erin F.; Matsuno, Rayna K.; Xu, Beibei; Triplett, Daniel P.; Hwang, Lindsay; Boero, Isabel J.; Einck, John P.; Yashar, Catheryn; Murphy, James D., E-mail: j2murphy@ucsd.edu

2016-10-01

Purpose: To evaluate geographic heterogeneity in the delivery of hypofractionated radiation therapy (RT) for breast cancer among Medicare beneficiaries across the United States. Methods and Materials: We identified 190,193 patients from the Centers for Medicare and Medicaid Services Chronic Conditions Warehouse. The study included patients aged >65 years diagnosed with invasive breast cancer treated with breast conservation surgery followed by radiation diagnosed between 2000 and 2012. We analyzed data by hospital referral region based on patient residency ZIP code. The proportion of women who received hypofractionated RT within each region was analyzed over the study period. Multivariable logistic regression models identified predictors of hypofractionated RT. Results: Over the entire study period we found substantial geographic heterogeneity in the use of hypofractionated RT. The proportion of women receiving hypofractionated breast RT in individual hospital referral regions varied from 0% to 61%. We found no correlation between the use of hypofractionated RT and urban/rural setting or general geographic region. The proportion of hypofractionated RT increased in regions with higher density of radiation oncologists, as well as lower total Medicare reimbursements. Conclusions: This study demonstrates substantial geographic heterogeneity in the use of hypofractionated RT among elderly women with invasive breast cancer treated with lumpectomy in the United States. This heterogeneity persists despite clinical data from multiple randomized trials proving efficacy and safety compared with standard fractionation, and highlights possible inefficiency in health care delivery.

Geographical patterns in cyanobacteria distribution: climate influence at regional scale.

Science.gov (United States)

Pitois, Frédéric; Thoraval, Isabelle; Baurès, Estelle; Thomas, Olivier

2014-01-28

Cyanobacteria are a component of public health hazards in freshwater environments because of their potential as toxin producers. Eutrophication has long been considered the main cause of cyanobacteria outbreak and proliferation, whereas many studies emphasized the effect of abiotic parameters (mainly temperature and light) on cell growth rate or toxin production. In view of the growing concerns of global change consequences on public health parameters, this study attempts to enlighten climate influence on cyanobacteria at regional scale in Brittany (NW France). The results show that homogeneous cyanobacteria groups are associated with climatic domains related to temperature, global radiation and pluviometry, whereas microcystins (MCs) occurrences are only correlated to local cyanobacteria species composition. As the regional climatic gradient amplitude is similar to the projected climate evolution on a 30-year timespan, a comparison between the present NW and SE situations was used to extrapolate the evolution of geographical cyanobacteria distribution in Brittany. Cyanobacteria composition should shift toward species associated with more frequent Microcystins occurrences along a NW/SE axis whereas lakes situated along a SW/NE axis should transition to species (mainly Nostocales) associated with lower MCs detection frequencies.

Social deprivation and exposure to health promotion. A study of the distribution of health promotion resources to schools in England

Directory of Open Access Journals (Sweden)

Reidpath Daniel D

2010-08-01

Full Text Available Abstract Background Area deprivation is a known determinant of health. It is also known that area deprivation is associated with lower impact health promotion. It is less well known, however, whether deprived areas are less responsive to health promotion, or whether they are less exposed. Using data from a national, school-based campaign to promote vaccination against the human papilloma virus (HPV, the relationship between area deprivation and exposure was examined. Methods Taking advantage of a health promotion campaign to provide information to schools about HPV vaccination, a cross sectional study was conducted to examine the relationship between area level, social deprivation, and take-up of (i.e., exposure to available health promotion material. The sample was 4,750 schools across England, including government maintained and independent schools. The relationship between area deprivation and exposure was examined using bi- and multivariate logistic regression. Results It was found that schools in the least deprived quintile had 1.32 times the odds of requesting health promotion materials than schools in the most deprived areas (p = .01. This effect was independent of the school size, the type of school, and the geographic region. Conclusion The relationship between area deprivation and the impact of health promotion may be due, at least in part, to differential levels of exposure. The study was limited in scope, pointing to the need for more research, but also points to potentially important policy implications.

Geographical patterns of onchocerciasis in southern Venezuela: relationships between environment and infection prevalence.

Science.gov (United States)

Botto, C; Escalona, E; Vivas-Martinez, S; Behm, V; Delgado, L; Coronel, P

2005-03-01

Onchocerciasis is a chronic filarial infection transmitted by Simulium flies that has a focal geographical distribution in Latin America. The southern Venezuelan focus has a gradient of endemicity that includes the largest number of hyperendemic communities in the continent, many of them in remote forest and mountainous areas, where it is an important public health problem among the Yanomami indigenous population. The recent introduction of Geographical Information Systems (GIS) tools and a landscape epidemiology approach for study of vector borne diseases is helping to understand relationships between environment and transmission dynamics of onchocerciasis. Striking differences in the transmission dynamics of onchocerciasis between different river courses were detected. A significant relationship between onchocerciasis and temperature was also demonstrated. The geologic substrate, kind of landscape and vegetation seemed also to influence the transmission of onchocerciasis. In the Venezuelan Amazon, different kinds of landscapes associated with distinctive vector species, show different intensities of transmission of onchocerciasis. In this sense, landscape analysis aided by GIS, may prove to be a useful tool for better identification of the spatial distribution of onchocerciasis risk in the Orinoco basin.

Taxonomic and Geographic Bias in Conservation Biology Research: A Systematic Review of Wildfowl Demography Studies.

Science.gov (United States)

Roberts, Beth E I; Harris, W Edwin; Hilton, Geoff M; Marsden, Stuart J

2016-01-01

Demographic data are important to wildlife managers to gauge population health, to allow populations to be utilised sustainably, and to inform conservation efforts. We analysed published demographic data on the world's wildfowl to examine taxonomic and geographic biases in study, and to identify gaps in knowledge. Wildfowl (order: Anseriformes) are a comparatively well studied bird group which includes 169 species of duck, goose and swan. In all, 1,586 wildfowl research papers published between 1911 and 2010 were found using Web of Knowledge (WoK) and Google Scholar. Over half of the research output involved just 15 species from seven genera. Research output was strongly biased towards 'high income' countries, common wildfowl species, and measures of productivity, rather than survival and movement patterns. There were significantly fewer demographic data for the world's 31 threatened wildfowl species than for non-threatened species. Since 1994, the volume of demographic work on threatened species has increased more than for non-threatened species, but still makes up only 2.7% of total research output. As an aid to research prioritisation, a metric was created to reflect demographic knowledge gaps for each species related to research output for the species, its threat status, and availability of potentially useful surrogate data from congeneric species. According to the metric, the 25 highest priority species include thirteen threatened taxa and nine species each from Asia and South America, and six from Africa.

Implications of doing insider interviews: studying geography and geographers

DEFF Research Database (Denmark)

Adriansen, Hanne Kirstine; Madsen, Lene Møller

2009-01-01

The article addresses the issue of being a ‘double' insider when conducting interviews. Double insider means being an insider both in relation to one's research matter - in the authors' case the making of geographical knowledge - and in relation to one's interviewees - our colleagues. The article...... is a reflection paper in the sense that we reflect upon experiences drawn from a previous research project carried out in Danish academia. It is important that the project was situated in a Scandinavian workplace culture because this has bearings for the social, cultural, and economic situation in which knowledge...

Representations built from a true geographic database

DEFF Research Database (Denmark)

Bodum, Lars

2005-01-01

the whole world in 3d and with a spatial reference given by geographic coordinates. Built on top of this is a customised viewer, based on the Xith(Java) scenegraph. The viewer reads the objects directly from the database and solves the question about Level-Of-Detail on buildings, orientation in relation...... a representation based on geographic and geospatial principles. The system GRIFINOR, developed at 3DGI, Aalborg University, DK, is capable of creating this object-orientation and furthermore does this on top of a true Geographic database. A true Geographic database can be characterized as a database that can cover...

Prevalence and geographic distribution of herniated intervertebral disc in Korean 19-year-old male from 2008 to 2009: a study based on Korean conscription -national and geographic prevalence of herniated intervertebral disc in Korean 19YO male-.

Science.gov (United States)

Lee, Sang Hun; Oh, Chang Hyun; Yoon, Seung Hwan; Park, Hyeong-chun; Park, Chong Oon

2013-09-01

This study was to determine the prevalence of herniated intervertebral disc (HIVD) among Korean 19-year-old male in a large national sample and to compare the prevalence across geographic regions based on the data of conscription. We analyzed the conscription data of 615508 cases who were 19-year-old male, given an examination for conscription at nationwide Korean Military Manpower Administration from January 2008 to December 2009. Prevalence was determined by dividing the number of cases by the number of persons enrolled for 2 years. The analyses included of a cross-tabulations and nonparametric chi-square to compare the prevalence according to geographic region, disc severity, and conscription year. The prevalence of HIVD among 19-year-old male was 0.47%. Seoul had the highest prevalence of HIVD (total HIVD was 0.60%, and severe HIVD was 0.44%). The prevalence of HIVD was lower in Jeollabuk- do and Jeollanam-do (total HIVD was 0.25-0.27%, and severe HIVD was 0.16-0.17%). Annual prevalence of HIVD was slightly decreased in 2009, but geographic distribution annually was not different. In Korean 19-year-old male, the national prevalence of adolescent HIVD was 0.60%, but different geographic distribution was observed. It is quite possible that secondary contributing factor(s) interfere with the different geographic prevalence of HIVD.

Consumer Attitudes and Perceptions on mHealth Privacy and Security: Findings From a Mixed-Methods Study.

Science.gov (United States)

Atienza, Audie A; Zarcadoolas, Christina; Vaughon, Wendy; Hughes, Penelope; Patel, Vaishali; Chou, Wen-Ying Sylvia; Pritts, Joy

2015-01-01

This study examined consumers' attitudes and perceptions regarding mobile health (mHealth) technology use in health care. Twenty-four focus groups with 256 participants were conducted in 5 geographically diverse locations. Participants were also diverse in age, education, race/ethnicity, gender, and rural versus urban settings. Several key themes emerged from the focus groups. Findings suggest that consumer attitudes regarding mHealth privacy/security are highly contextualized, with concerns depending on the type of information being communicated, where and when the information is being accessed, who is accessing or seeing the information, and for what reasons. Consumers frequently considered the tradeoffs between the privacy/security of using mHealth technologies and the potential benefits. Having control over mHealth privacy/security features and trust in providers were important issues for consumers. Overall, this study found significant diversity in attitudes regarding mHealth privacy/security both within and between traditional demographic groups. Thus, to address consumers' concerns regarding mHealth privacy and security, a one-size-fits-all approach may not be adequate. Health care providers and technology developers should consider tailoring mHealth technology according to how various types of information are communicated in the health care setting, as well as according to the comfort, skills, and concerns individuals may have with mHealth technology.

Utilisation of general practitioner services by socio-economic disadvantage and geographic remoteness.

Science.gov (United States)

Turrell, Gavin; Oldenburg, Brian F; Harris, Elizabeth; Jolley, Damien

2004-04-01

To examine the association between socio-economic status (SES) and GP utilisation across Statistical Local Areas (SLAs) that differed in their geographic remoteness, and to assess whether Indigenous status and GP availability modified the association. Retrospective analysis of Medicare data for all unreferred GP consultations (1996/97) for 952 SLAs comprising the six Australian States. Geographic remoteness was ascertained using the Area Remoteness Index of Australia (ARIA), and SES was measured by grouping SLAs into tertiles based on their Index of Relative Socioeconomic Disadvantage score. Age/sex standardised rates of GP utilisation for each SLA. In SLAs classified as 'highly accessible', rates of GP use were 10.8% higher (95% CI 5.7-16.0) in the most socio-economically disadvantaged tertile after adjustment for Indigenous status and GP availability. A very different pattern of GP utilsation was found in 'remote/very remote' SLAs. After adjustment, rates of GP use in the most socio-economically disadvantaged tertile were 25.3% lower (95% CI 5.9-40.7) than in the most advantaged tertile. People in socio-economically disadvantaged metropolitan SLAs have higher rates of GP utilisation, as would be expected due to their poorer health. This is not true for people living in disadvantaged remote/very remote SLAs: in these areas, those most in need of GP services are least likely to receive them. Australia may lay claim to having a primary health care system that provides universal coverage, but we are still some way from having a system that is economically and geographically accessible to all.

Perceptions of antenatal care services by pregnant women attending government health centres in the Buea Health District, Cameroon: a cross sectional study.

Science.gov (United States)

Edie, Gregory Edie Halle Ekane; Obinchemti, Thomas Egbe; Tamufor, Emmanuel Njuma; Njie, Martin Mafany; Njamen, Theophile Nana; Achidi, Eric Akum

2015-01-01

User'sperception of quality of ANC services crucially impacts continuity of use of these services and hence pregnancy outcome. However in our community, ANC user's perceptions of quality are not known. An observational analytic cross-sectional study was carried out amongst pregnant women attending selected government health centres in the Buea Health District. We recruited 385 consenting pregnant women for the study. Demographic and clinical data were collected using structured questionnaires. The data was entered into Microsoft Excel and exported toEpi-Info (Version 3.5.1) for analysis. Geographical accessibility and perceived quality of care were the predominant reasons for choosing or changing a site for ANC. One third of respondents (30.1%) attended a health centre out of their catchment health area with Buea Town health centre receiving the highest proportion of women out of the health area (56.8% of attendees). Knowledge about antenatal care varied and majority of respondents (96.4%) were satisfied with the antenatal services received. However, there were elements of dissatisfaction with health centre services, poor sitting facilities, amenities, few health education talks and poor nursing skills. High educational level (high school and university) (X(2) = 8.714; p = 0.01) and first time pregnancy(X(2)= 4.217; p= 0.04) were significantly associated with poor satisfaction. Policy makers should implement changes in the health care delivery system taking into account the users' preferences, more so in the light of increasing female education in Cameroon.

Experiences of transgender-related discrimination and implications for health: results from the Virginia Transgender Health Initiative Study.

Science.gov (United States)

Bradford, Judith; Reisner, Sari L; Honnold, Julie A; Xavier, Jessica

2013-10-01

We examined relationships between social determinants of health and experiences of transgender-related discrimination reported by transgender people in Virginia. In 2005 through 2006, 387 self-identified transgender people completed a statewide health needs assessment; 350 who completed eligibility questions were included in this examination of factors associated with experiences of discrimination in health care, employment, or housing. We fit multivariate logistic regression models using generalized estimating equations to adjust for survey modality (online vs paper). Of participants, 41% (n = 143) reported experiences of transgender-related discrimination. Factors associated with transgender-related discrimination were geographic context, gender (female-to male spectrum vs male-to-female spectrum), low socioeconomic status, being a racial/ethnic minority, not having health insurance, gender transition indicators (younger age at first transgender awareness), health care needed but unable to be obtained (hormone therapy and mental health services), history of violence (sexual and physical), substance use health behaviors (tobacco and alcohol), and interpersonal factors (family support and community connectedness). Findings suggest that transgender Virginians experience widespread discrimination in health care, employment, and housing. Multilevel interventions are needed for transgender populations, including legal protections and training for health care providers.

Experiences of Transgender-Related Discrimination and Implications for Health: Results From the Virginia Transgender Health Initiative Study

Science.gov (United States)

Reisner, Sari L.; Honnold, Julie A.; Xavier, Jessica

2013-01-01

Objectives. We examined relationships between social determinants of health and experiences of transgender-related discrimination reported by transgender people in Virginia. Methods. In 2005 through 2006, 387 self-identified transgender people completed a statewide health needs assessment; 350 who completed eligibility questions were included in this examination of factors associated with experiences of discrimination in health care, employment, or housing. We fit multivariate logistic regression models using generalized estimating equations to adjust for survey modality (online vs paper). Results. Of participants, 41% (n = 143) reported experiences of transgender-related discrimination. Factors associated with transgender-related discrimination were geographic context, gender (female-to male spectrum vs male-to-female spectrum), low socioeconomic status, being a racial/ethnic minority, not having health insurance, gender transition indicators (younger age at first transgender awareness), health care needed but unable to be obtained (hormone therapy and mental health services), history of violence (sexual and physical), substance use health behaviors (tobacco and alcohol), and interpersonal factors (family support and community connectedness). Conclusions. Findings suggest that transgender Virginians experience widespread discrimination in health care, employment, and housing. Multilevel interventions are needed for transgender populations, including legal protections and training for health care providers. PMID:23153142

Angiostrongylus spp. in the Americas: geographical and chronological distribution of definitive hosts versus disease reports.

Science.gov (United States)

Valente, Romina; Robles, Maria Del Rosario; Navone, Graciela T; Diaz, Julia I

2018-03-01

Angiostrongyliasis is an infection caused by nematode worms of the genus Angiostrongylus. The adult worms inhabit the pulmonary arteries, heart, bronchioles of the lung, or mesenteric arteries of the caecum of definitive host. Of a total of 23 species of Angiostrongylus cited worldwide, only nine were registered in the American Continent. Two species, A. cantonensis and A. costaricensis, are considered zoonoses when the larvae accidentally parasitise man. In the present study, geographical and chronological distribution of definitive hosts of Angiostrongylus in the Americas is analysed in order to observe their relationship with disease reports. Moreover, the role of different definitive hosts as sentinels and dispersers of infective stages is discussed. The study area includes the Americas. First records of Angiostrongylus spp. in definitive or accidental hosts were compiled from the literature. Data were included in tables and figures and were matched to geographic information systems (GIS). Most geographical records of Angiostrongylus spp. both for definitive and accidental hosts belong to tropical areas, mainly equatorial zone. In relation to those species of human health importance, as A. cantonensis and A. costaricensis, most disease cases indicate a coincidence between the finding of definitive host and disease record. However, in some geographic site there are gaps between report of definitive host and disease record. In many areas, human populations have invaded natural environments and their socioeconomic conditions do not allow adequate medical care. Consequently, many cases for angiostrongyliasis could have gone unreported or unrecognised throughout history and in the nowadays. Moreover, the population expansion and the climatic changes invite to make broader and more complete range of observation on the species that involve possible epidemiological risks. This paper integrates and shows the current distribution of Angiostrongylus species in America

Angiostrongylus spp. in the Americas: geographical and chronological distribution of definitive hosts versus disease reports

Science.gov (United States)

Valente, Romina; Robles, Maria del Rosario; Navone, Graciela T; Diaz, Julia I

2018-01-01

BACKGROUND Angiostrongyliasis is an infection caused by nematode worms of the genus Angiostrongylus. The adult worms inhabit the pulmonary arteries, heart, bronchioles of the lung, or mesenteric arteries of the caecum of definitive host. Of a total of 23 species of Angiostrongylus cited worldwide, only nine were registered in the American Continent. Two species, A. cantonensis and A. costaricensis, are considered zoonoses when the larvae accidentally parasitise man. OBJECTIVES In the present study, geographical and chronological distribution of definitive hosts of Angiostrongylus in the Americas is analysed in order to observe their relationship with disease reports. Moreover, the role of different definitive hosts as sentinels and dispersers of infective stages is discussed. METHODS The study area includes the Americas. First records of Angiostrongylus spp. in definitive or accidental hosts were compiled from the literature. Data were included in tables and figures and were matched to geographic information systems (GIS). FINDINGS Most geographical records of Angiostrongylus spp. both for definitive and accidental hosts belong to tropical areas, mainly equatorial zone. In relation to those species of human health importance, as A. cantonensis and A. costaricensis, most disease cases indicate a coincidence between the finding of definitive host and disease record. However, in some geographic site there are gaps between report of definitive host and disease record. In many areas, human populations have invaded natural environments and their socioeconomic conditions do not allow adequate medical care. MAIN CONCLUSIONS Consequently, many cases for angiostrongyliasis could have gone unreported or unrecognised throughout history and in the nowadays. Moreover, the population expansion and the climatic changes invite to make broader and more complete range of observation on the species that involve possible epidemiological risks. This paper integrates and shows the

Geographic variation in chin shape challenges the universal facial attractiveness hypothesis.

Directory of Open Access Journals (Sweden)

Zaneta M Thayer

Full Text Available The universal facial attractiveness (UFA hypothesis proposes that some facial features are universally preferred because they are reliable signals of mate quality. The primary evidence for this hypothesis comes from cross-cultural studies of perceived attractiveness. However, these studies do not directly address patterns of morphological variation at the population level. An unanswered question is therefore: Are universally preferred facial phenotypes geographically invariant, as the UFA hypothesis implies? The purpose of our study is to evaluate this often overlooked aspect of the UFA hypothesis by examining patterns of geographic variation in chin shape. We collected symphyseal outlines from 180 recent human mandibles (90 male, 90 female representing nine geographic regions. Elliptical Fourier functions analysis was used to quantify chin shape, and principle components analysis was used to compute shape descriptors. In contrast to the expectations of the UFA hypothesis, we found significant geographic differences in male and female chin shape. These findings are consistent with region-specific sexual selection and/or random genetic drift, but not universal sexual selection. We recommend that future studies of facial attractiveness take into consideration patterns of morphological variation within and between diverse human populations.

Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15.

Science.gov (United States)

Tomeny, Theodore S; Vargo, Christopher J; El-Toukhy, Sherine

2017-10-01

This study examines temporal trends, geographic distribution, and demographic correlates of anti-vaccine beliefs on Twitter, 2009-2015. A total of 549,972 tweets were downloaded and coded for the presence of anti-vaccine beliefs through a machine learning algorithm. Tweets with self-disclosed geographic information were resolved and United States Census data were collected for corresponding areas at the micropolitan/metropolitan level. Trends in number of anti-vaccine tweets were examined at the national and state levels over time. A least absolute shrinkage and selection operator regression model was used to determine census variables that were correlated with anti-vaccination tweet volume. Fifty percent of our sample of 549,972 tweets collected between 2009 and 2015 contained anti-vaccine beliefs. Anti-vaccine tweet volume increased after vaccine-related news coverage. California, Connecticut, Massachusetts, New York, and Pennsylvania had anti-vaccination tweet volume that deviated from the national average. Demographic characteristics explained 67% of variance in geographic clustering of anti-vaccine tweets, which were associated with a larger population and higher concentrations of women who recently gave birth, households with high income levels, men aged 40 to 44, and men with minimal college education. Monitoring anti-vaccination beliefs on Twitter can uncover vaccine-related concerns and misconceptions, serve as an indicator of shifts in public opinion, and equip pediatricians to refute anti-vaccine arguments. Real-time interventions are needed to counter anti-vaccination beliefs online. Identifying clusters of anti-vaccination beliefs can help public health professionals disseminate targeted/tailored interventions to geographic locations and demographic sectors of the population. Copyright © 2017 Elsevier Ltd. All rights reserved.

GIS in Evaluation: Utilizing the Power of Geographic Information Systems to Represent Evaluation Data

Science.gov (United States)

Azzam, Tarek; Robinson, David

2013-01-01

This article provides an introduction to geographic information systems (GIS) and how the technology can be used to enhance evaluation practice. As a tool, GIS enables evaluators to incorporate contextual features (such as accessibility of program sites or community health needs) into evaluation designs and highlights the interactions between…

25 CFR 571.10 - Geographical location.

Science.gov (United States)

2010-04-01

... 25 Indians 2 2010-04-01 2010-04-01 false Geographical location. 571.10 Section 571.10 Indians NATIONAL INDIAN GAMING COMMISSION, DEPARTMENT OF THE INTERIOR COMPLIANCE AND ENFORCEMENT PROVISIONS MONITORING AND INVESTIGATIONS Subpoenas and Depositions § 571.10 Geographical location. The attendance of...

Geographic variation in premiums in health insurance marketplaces.

Science.gov (United States)

Barker, Abigail R; McBride, Timothy D; Kemper, Leah M; Mueller, Keith

2014-08-01

This policy brief analyzes the 2014 premiums associated with qualified health plans (QHPs) made available through new health insurance marketplaces (HIMs), an implementation of the Patient Protection and Affordable Care Act (ACA) of 2010. We report differences in premiums by insurance rating areas while controlling for other important factors such as the actuarial value of the plan (metal level), cost-of-living differences, and state-level decisions over type of rating area. While market equilibrium, based on experience and understanding of the characteristics of the new market, should not be expected this soon, preliminary results give policymakers key issues to monitor.

Health Care Personnel Perception of the Privacy of Electronic Health Records.

Science.gov (United States)

Saito, Kenji; Shofer, Frances S; Saberi, Poune; Green-McKenzie, Judith

2017-06-01

: Health care facilities are increasingly converting paper medical records to electronic health records. This study investigates the perception of privacy health care personnel have of electronic health records. A pilot tested, anonymous survey was administered to a convenience sample of health care personnel. Standard summary statistics and Chi-square analysis were used to assess differences in perception. Of the 93% (96/103) who responded, 65% were female and 43% white. The mean age was 44.3 years. Most (94%) felt that Medical Record privacy was important and one-third reported they would not seek care at their workplace if Electronic Health Records were used. Efforts to assure and communicate the integrity of electronic health records are essential toward reducing deterrents for health care personnel to access geographically convenient and timely health care.

Authorities and organizations involved with geographic names - 1989: United States, Canada, Mexico

Science.gov (United States)

Orth, Donald J.

1989-01-01

There is a need for accurate and standard geographic names usage in all levels of government, industry, commerce, communications, education, and research. There is also a growing number of organizations in North America that are, fully or partly, involved in the scholarly study of geographic names. This report is a list of official national, State/Provincial, and regional provincial authorities concerned with name standardization, and of organizations involved with the study of geographic names, in the United States, Canada, and Mexico. The appendixes are copies of documents that provide additional information about the organization, policies, procedures, and publications of some of these organizations.

Using Metadata to Build Geographic Information Sharing Environment on Internet

Directory of Open Access Journals (Sweden)

Chih-hong Sun

1999-12-01

Full Text Available Internet provides a convenient environment to share geographic information. Web GIS (Geographic Information System even provides users a direct access environment to geographic databases through Internet. However, the complexity of geographic data makes it difficult for users to understand the real content and the limitation of geographic information. In some cases, users may misuse the geographic data and make wrong decisions. Meanwhile, geographic data are distributed across various government agencies, academic institutes, and private organizations, which make it even more difficult for users to fully understand the content of these complex data. To overcome these difficulties, this research uses metadata as a guiding mechanism for users to fully understand the content and the limitation of geographic data. We introduce three metadata standards commonly used for geographic data and metadata authoring tools available in the US. We also review the current development of geographic metadata standard in Taiwan. Two metadata authoring tools are developed in this research, which will enable users to build their own geographic metadata easily.[Article content in Chinese

Assessing the risk for suicide in schizophrenia according to migration, ethnicity and geographical ancestry.

Science.gov (United States)

Hettige, Nuwan C; Bani-Fatemi, Ali; Kennedy, James L; De Luca, Vincenzo

2017-02-09

Suicide is a leading cause of mortality among those afflicted by schizophrenia. Previous studies demonstrated that the stressors associated with immigration may lead to an onset of schizophrenia and suicide separately in susceptible individuals. However, no studies have shown whether immigration may lead to suicidal behaviour for individuals with schizophrenia. Our study proposes that an individual's geographical ancestry, ethnicity or migration status may be predictive of suicide risk in schizophrenia. In a sample of 276 participants with schizophrenia spectrum disorders, we conducted cross-sectional assessments to collect clinical information. Self-identified ethnicity and suicide history were collected through self-report questionnaires and interview-based scales. Ancestry was identified using 292 genetic markers from HapMap. Migrants were classified as those who immigrated to Canada during their lifetime. Using a regression analysis, we tested whether a history of migration, ethnicity or geographical ancestry were predictive of a history of suicide attempts. Our analysis failed to demonstrate a significant relationship between suicide history and migration, ethnicity or ancestry. However, ethnicity appears to be significantly associated with the number of psychiatric hospitalizations in our sample. Ethnicity and migration history are not predictive of previous suicide attempts. Ethnicity may be an important demographic factor affecting access to mental health resources and frequency of hospitalizations.

Impact of geographic area level on measuring socioeconomic disparities in cancer survival in New South Wales, Australia: A period analysis.

Science.gov (United States)

Stanbury, Julia F; Baade, Peter D; Yu, Yan; Yu, Xue Qin

2016-08-01

Area-based socioeconomic measures are widely used in health research. In theory, the larger the area used the more individual misclassification is introduced, thus biasing the association between such area level measures and health outcomes. In this study, we examined the socioeconomic disparities in cancer survival using two geographic area-based measures to see if the size of the area matters. We used population-based cancer registry data for patients diagnosed with one of 10 major cancers in New South Wales (NSW), Australia during 2004-2008. Patients were assigned index measures of socioeconomic status (SES) based on two area-level units, census Collection District (CD) and Local Government Area (LGA) of their address at diagnosis. Five-year relative survival was estimated using the period approach for patients alive during 2004-2008, for each socioeconomic quintile at each area-level for each cancer. Poisson-regression modelling was used to adjust for socioeconomic quintile, sex, age-group at diagnosis and disease stage at diagnosis. The relative excess risk of death (RER) by socioeconomic quintile derived from this modelling was compared between area-units. We found extensive disagreement in SES classification between CD and LGA levels across all socioeconomic quintiles, particularly for more disadvantaged groups. In general, more disadvantaged patients had significantly lower survival than the least disadvantaged group for both CD and LGA classifications. The socioeconomic survival disparities detected by CD classification were larger than those detected by LGA. Adjusted RER estimates by SES were similar for most cancers when measured at both area levels. We found that classifying patient SES by the widely used Australian geographic unit LGA results in underestimation of survival disparities for several cancers compared to when SES is classified at the geographically smaller CD level. Despite this, our RER of death estimates derived from these survival

Geographical constraints to range-based attacks on links in complex networks

International Nuclear Information System (INIS)

Gong Baihua; Liu Jun; Huang Liang; Yang Kongqing; Yang Lei

2008-01-01

In this paper, we studied range-based attacks on links in geographically constrained scale-free networks and found that there is a continuous switching of roles of short- and long-range attacks on links when tuning the geographical constraint strength. Our results demonstrate that the geography has a significant impact on the network efficiency and security; thus one can adjust the geographical structure to optimize the robustness and the efficiency of the networks. We introduce a measurement of the impact of links on the efficiency of the network, and an effective attacking strategy is suggested

Molecular Identification of Paramecium bursaria Syngens and Studies on Geographic Distribution using Mitochondrial Cytochrome C Oxidase Subunit I (COI).

Science.gov (United States)

Zagata, Patrycja; Greczek-Stachura, Magdalena; Tarcz, Sebastian; Rautian, Maria

2015-01-01

Paramecium bursaria is composed of five syngens that are morphologically indistinguishable but sexually isolated. The aim of the present study was to confirm by molecular methods (analyses of mitochondrial COI) the identification of P. bursaria syngens originating from different geographical locations. Phylograms constructed using both the neighbor-joining and maximum-likelihood methods based on a comparison of 34 sequences of P. bursaria strains and P. multimicronucleatum, P. caudatum and P.calkinsi strains used as outgroups revealed five clusters which correspond to results obtained previously by mating reaction. Our analysis shows the existence of 24 haplotypes for the COI gene sequence in the studied strains. The interspecies haplotype diversity was Hd = 0.967. We confirmed genetic differentiation between strains of P. bursaria and the occurrence of a correlation between geographical distribution and the correspondent syngen.

Cultural and economic determinants of geographical mortality patterns in The Netherlands

NARCIS (Netherlands)

Mackenbach, J. P.; Kunst, A. E.; Looman, C. W.

1991-01-01

STUDY OBJECTIVE--The geographical pattern of mortality in The Netherlands is dominated by an area of relatively high mortality in the southern part of the country. The aim was to analyse the background of this geographical mortality pattern in the early 1980s, and its evolution over time since the

The association between geographical factors and dental caries in a rural area in Mexico.

Science.gov (United States)

Maupome, Gerardo; Martínez-Mier, E Angeles; Holt, Alanna; Medina-Solís, Carlo Eduardo; Mantilla-Rodríguez, Andrés; Carlton, Brittany

2013-07-01

The aim of this study was to investigate the association between markers of oral disease and geographical factors influencing access to dental care (DMFT score) among school children in Central Mexico. Retrospective data were collected during an international service-learning program between 2002 and 2009. A sample of 1,143 children (55% females; mean age 12.7±13.1years) was analyzed. The mean DMFT score, represented largely by untreated tooth decay, was 4.02 (4.76). The variables that had the most significant effect on the DMFT score were proportion of paved roads between the community and dental services, and the availability of piped potable water. The DMFT score increased in proportion to the percentage of paved roads. In contrast, the DMFT score decreased with the availability of piped potable water. Similar results were found for untreated tooth decay. The main variable associated with a significant increase in dental fillings was proportion of paved roads. Together with Brazilian reports, this is one of the first investigations of the association between geographical factors and oral health in an underdeveloped setting.

Assessing the feasibility of eHealth and mHealth: a systematic review and analysis of initiatives implemented in Kenya.

Science.gov (United States)

Njoroge, Martin; Zurovac, Dejan; Ogara, Esther A A; Chuma, Jane; Kirigia, Doris

2017-02-10

The growth of Information and Communication Technology in Kenya has facilitated implementation of a large number of eHealth projects in a bid to cost-effectively address health and health system challenges. This systematic review aims to provide a situational analysis of eHealth initiatives being implemented in Kenya, including an assessment of the areas of focus and geographic distribution of the health projects. The search strategy involved peer and non-peer reviewed sources of relevant information relating to projects under implementation in Kenya. The projects were examined based on strategic area of implementation, health purpose and focus, geographic location, evaluation status and thematic area. A total of 114 citations comprising 69 eHealth projects fulfilled the inclusion criteria. The eHealth projects included 47 mHealth projects, 9 health information system projects, 8 eLearning projects and 5 telemedicine projects. In terms of projects geographical distribution, 24 were executed in Nairobi whilst 15 were designed to have a national coverage but only 3 were scaled up. In terms of health focus, 19 projects were mainly on primary care, 17 on HIV/AIDS and 11 on maternal and child health (MNCH). Only 8 projects were rigorously evaluated under randomized control trials. This review discovered that there is a myriad of eHealth projects being implemented in Kenya, mainly in the mHealth strategic area and focusing mostly on primary care and HIV/AIDs. Based on our analysis, most of the projects were rarely evaluated. In addition, few projects are implemented in marginalised areas and least urbanized counties with more health care needs, notwithstanding the fact that adoption of information and communication technology should aim to improve health equity (i.e. improve access to health care particularly in remote parts of the country in order to reduce geographical inequities) and contribute to overall health systems strengthening.

Boundaries and e-health implementation in health and social care

Directory of Open Access Journals (Sweden)

King Gerry

2012-09-01

Full Text Available Abstract Background The major problem facing health and social care systems globally today is the growing challenge of an elderly population with complex health and social care needs. A longstanding challenge to the provision of high quality, effectively coordinated care for those with complex needs has been the historical separation of health and social care. Access to timely and accurate data about patients and their treatments has the potential to deliver better care at less cost. Methods To explore the way in which structural, professional and geographical boundaries have affected e-health implementation in health and social care, through an empirical study of the implementation of an electronic version of Single Shared Assessment (SSA in Scotland, using three retrospective, qualitative case studies in three different health board locations. Results Progress in effectively sharing electronic data had been slow and uneven. One cause was the presence of established structural boundaries, which lead to competing priorities, incompatible IT systems and infrastructure, and poor cooperation. A second cause was the presence of established professional boundaries, which affect staffs’ understanding and acceptance of data sharing and their information requirements. Geographical boundaries featured but less prominently and contrasting perspectives were found with regard to issues such as co-location of health and social care professionals. Conclusions To provide holistic care to those with complex health and social care needs, it is essential that we develop integrated approaches to care delivery. Successful integration needs practices such as good project management and governance, ensuring system interoperability, leadership, good training and support, together with clear efforts to improve working relations across professional boundaries and communication of a clear project vision. This study shows that while technological developments make

Challenges and strategies to improve the availability and geographic accessibility of physicians in Portugal.

Science.gov (United States)

de Oliveira, Ana Paula Cavalcante; Dussault, Gilles; Craveiro, Isabel

2017-03-23

Shortages of physicians in remote, rural and other underserved areas and lack of general practitioners limit access to health services. The aims of this article are to identify the challenges faced by policy and decision-makers in Portugal to guarantee the availability and geographic accessibility to physicians in the National Health Service and to describe and analyse their causes, the strategies to tackle them and their results. We also raise the issue of whether research evidence was used or not in the process of policy development. We analysed policy and technical documents, peer-reviewed papers and newspaper articles from 1995 to 2015 through a structured search of government websites, Portuguese online newspapers and PubMed and Virtual Health Library (Biblioteca Virtual em Saúde (BVS)) databases; key informants were consulted to validate and complement the documentary search. The challenges faced by decision-makers to ensure access to physicians were identified as a forecasted shortage of physicians, geographical imbalances and maldistribution of physicians by level of care. To date, no human resources for health policy has been formulated, in spite of most documents reviewed stating that it is needed. On the other hand, various isolated and ad hoc strategies have been adopted, such as incentives to choose family health as a specialty or to work in an underserved region and recruitment of foreign physicians through bilateral agreements. Health workforce research in Portugal is scarce, and therefore, policy decisions regarding the availability and accessibility of physicians are not based on evidence. The policy interventions described in this paper should be evaluated, which would be a good starting point to inform health workforce policy development.

Geographical and Temporal Variations in Female Breast Cancer Mortality in the Municipalities of Andalusia (Southern Spain)

Science.gov (United States)

Ocaña-Riola, Ricardo; Montaño-Remacha, Carmen; Mayoral-Cortés, José María

2016-01-01

The last published figures have shown geographical variations in mortality with respect to female breast cancer in European countries. However, national health policies need a dynamic image of the geographical variations within the country. The aim of this paper was to describe the spatial distribution of age-specific mortality rates from female breast cancer in the municipalities of Andalusia (southern Spain) and to analyze its evolution over time from 1981 to 2012. An ecological study was devised. Two spatio-temporal hierarchical Bayesian models were estimated. One of these was used to estimate the age-specific mortality rate for each municipality, together with its time trends, and the other was used to estimate the age-specific rate ratio compared with Spain as a whole. The results showed that 98% of the municipalities exhibited a decreasing or a flat mortality trend for all the age groups. In 2012, the geographical variability of the age-specific mortality rates was small, especially for population groups below 65. In addition, more than 96.6% of the municipalities showed an age-specific mortality rate similar to the corresponding rate for Spain, and there were no identified significant clusters. This information will contribute towards a reflection on the past, present and future of breast cancer outcomes in Andalusia. PMID:27879690

Estimating the accuracy of geographical imputation

Directory of Open Access Journals (Sweden)

Boscoe Francis P

2008-01-01

Full Text Available Abstract Background To reduce the number of non-geocoded cases researchers and organizations sometimes include cases geocoded to postal code centroids along with cases geocoded with the greater precision of a full street address. Some analysts then use the postal code to assign information to the cases from finer-level geographies such as a census tract. Assignment is commonly completed using either a postal centroid or by a geographical imputation method which assigns a location by using both the demographic characteristics of the case and the population characteristics of the postal delivery area. To date no systematic evaluation of geographical imputation methods ("geo-imputation" has been completed. The objective of this study was to determine the accuracy of census tract assignment using geo-imputation. Methods Using a large dataset of breast, prostate and colorectal cancer cases reported to the New Jersey Cancer Registry, we determined how often cases were assigned to the correct census tract using alternate strategies of demographic based geo-imputation, and using assignments obtained from postal code centroids. Assignment accuracy was measured by comparing the tract assigned with the tract originally identified from the full street address. Results Assigning cases to census tracts using the race/ethnicity population distribution within a postal code resulted in more correctly assigned cases than when using postal code centroids. The addition of age characteristics increased the match rates even further. Match rates were highly dependent on both the geographic distribution of race/ethnicity groups and population density. Conclusion Geo-imputation appears to offer some advantages and no serious drawbacks as compared with the alternative of assigning cases to census tracts based on postal code centroids. For a specific analysis, researchers will still need to consider the potential impact of geocoding quality on their results and evaluate

Geographic Names Information System (GNIS) Transportation Features

Data.gov (United States)

Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Historical Features

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Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Admin Features

Data.gov (United States)

Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Hydrography Lines

Data.gov (United States)

Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Cultural Features

Data.gov (United States)

Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Landform Features

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Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Hydrography Points

Data.gov (United States)

Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Community Features

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Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Geographic Names Information System (GNIS) Antarctica Features

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Department of Homeland Security — The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board...

Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter?

Science.gov (United States)

Wei, Chunzhu; Cabrera-Barona, Pablo; Blaschke, Thomas

2016-01-01

This study aims to explore the effect of the neighborhood scale when estimating public services inequality based on the aggregation of social, environmental, and health-related indicators. Inequality analyses were carried out at three neighborhood scales: the original census blocks and two aggregated neighborhood units generated by the spatial “k”luster analysis by the tree edge removal (SKATER) algorithm and the self-organizing map (SOM) algorithm. Then, we combined a set of health-related public services indicators with the geographically weighted principal components analyses (GWPCA) and the principal components analyses (PCA) to measure the public services inequality across all multi-scale neighborhood units. Finally, a statistical test was applied to evaluate the scale effects in inequality measurements by combining all available field survey data. We chose Quito as the case study area. All of the aggregated neighborhood units performed better than the original census blocks in terms of the social indicators extracted from a field survey. The SKATER and SOM algorithms can help to define the neighborhoods in inequality analyses. Moreover, GWPCA performs better than PCA in multivariate spatial inequality estimation. Understanding the scale effects is essential to sustain a social neighborhood organization, which, in turn, positively affects social determinants of public health and public quality of life. PMID:27706072

Remote sensing research in geographic education: An alternative view

Science.gov (United States)

Wilson, H.; Cary, T. K.; Goward, S. N.

1981-01-01

It is noted that within many geography departments remote sensing is viewed as a mere technique a student should learn in order to carry out true geographic research. This view inhibits both students and faculty from investigation of remotely sensed data as a new source of geographic knowledge that may alter our understanding of the Earth. The tendency is for geographers to accept these new data and analysis techniques from engineers and mathematicians without questioning the accompanying premises. This black-box approach hinders geographic applications of the new remotely sensed data and limits the geographer's contribution to further development of remote sensing observation systems. It is suggested that geographers contribute to the development of remote sensing through pursuit of basic research. This research can be encouraged, particularly among students, by demonstrating the links between geographic theory and remotely sensed observations, encouraging a healthy skepticism concerning the current understanding of these data.

Spatial Analysis of the Solid Waste Bins in the Sectors of the City of Mosul "Environmental Study in Geographic Information Systems"

Directory of Open Access Journals (Sweden)

Zainab A. Khalaf

2018-01-01

Full Text Available An experimental study on a passive solar distiller in the Tikrit city on (latitude line"34 36o The problem of solid waste in Mosul city is one of the most important daily problems that faces the municipal and other institutions, because it consists eight sectors and those of varied in the people preparation, economic conditions and area, This study aimed to identify the spatial variation of solid waste as well as the geographical distribution of bins numbers and spatial analysis using geographic information systems. The study produced many maps of the bins number distribution geographically using buffer tools that used to determine the area served by a single bin, as well as the maps of the spatial analysis by Theissen polygons and IDW methods. The study results proved the efficiency of IDW compared to Theissen polygons method, because the analysis by polygons Theissen methods show only  the capacity and efficiency of the bin to accommodate the solid waste at the same location, as well as of the generality and comprehensiveness at the area expense in the spatial description process unlike the first type. DOI: http://dx.doi.org/10.25130/tjes.24.2017.23

Extending the Intermediate Data Structure (IDS for longitudinal historical databases to include geographic data

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Finn Hedefalk

2014-09-01

Full Text Available The Intermediate Data Structure (IDS is a standardised database structure for longitudinal historical databases. Such a common structure facilitates data sharing and comparative research. In this study, we propose an extended version of IDS, named IDS-Geo, that also includes geographic data. The geographic data that will be stored in IDS-Geo are primarily buildings and/or property units, and the purpose of these geographic data is mainly to link individuals to places in space. When we want to assign such detailed spatial locations to individuals (in times before there were any detailed house addresses available, we often have to create tailored geographic datasets. In those cases, there are benefits of storing geographic data in the same structure as the demographic data. Moreover, we propose the export of data from IDS-Geo using an eXtensible Markup Language (XML Schema. IDS-Geo is implemented in a case study using historical property units, for the period 1804 to 1913, stored in a geographically extended version of the Scanian Economic Demographic Database (SEDD. To fit into the IDS-Geo data structure, we included an object lifeline representation of all of the property units (based on the snapshot time representation of single historical maps and poll-tax registers. The case study verifies that the IDS-Geo model is capable of handling geographic data that can be linked to demographic data.

Personality Homophily and Geographic Distance in Facebook.

Science.gov (United States)

Noë, Nyala; Whitaker, Roger M; Allen, Stuart M

2018-05-24

Personality homophily remains an understudied aspect of social networks, with the traditional focus concerning sociodemographic variables as the basis for assortativity, rather than psychological dispositions. We consider the effect of personality homophily on one of the biggest constraints to human social networks: geographic distance. We use the Big five model of personality to make predictions for each of the five facets: Openness to experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Using a network of 313,669 Facebook users, we investigate the difference in geographic distance between homophilous pairs, in which both users scored similarly on a particular facet, and mixed pairs. In accordance with our hypotheses, we find that pairs of open and conscientious users are geographically further apart than mixed pairs. Pairs of extraverts, on the other hand, tend to be geographically closer together. We find mixed results for the Neuroticism facet, and no significant effects for the Agreeableness facet. The results are discussed in the context of personality homophily and the impact of geographic distance on social connections.

Surveying and Mapping Geographical Information from the Perspective of Geography

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LÜ Guonian

2017-10-01

Full Text Available It briefly reviewed the history of geographic information content development since the existence of geographic information system. It pointed out that the current definition of geographic information is always the extension from the "spatial+ attributes" basic mapping framework of geographic information. It is increasingly difficult to adapt to the analysis and application of spatial-temporal big data. From the perspective of geography research subject and content, it summarized systematically that the content and extension of the "geographic information" that geography needs. It put forward that a six-element expression model of geographic information, including spatial location, semantic description, attribute characteristics, geometric form, evolution process, and objects relationship.Under the guidance of the laws of geography, for geographical phenomenon of spatial distribution, temporal pattern and evolution process, the interaction mechanism of the integrated expression, system analysis and efficient management, it designed that a unified GIS data model which is expressed by six basic elements, a new GIS data structure driven by geographical rules and interaction, and key technologies of unstructured spatio-temporal data organization and storage. It provided that a theoretical basis and technical support for the shift from the surveying and mapping geographic information to the scientific geographic information, and it can help improving the organization, management, analysis and expression ability of the GIS of the geographical laws such as geographical pattern, evolution process, and interaction between elements.

Research on a Method of Geographical Information Service Load Balancing

Science.gov (United States)

Li, Heyuan; Li, Yongxing; Xue, Zhiyong; Feng, Tao

2018-05-01

With the development of geographical information service technologies, how to achieve the intelligent scheduling and high concurrent access of geographical information service resources based on load balancing is a focal point of current study. This paper presents an algorithm of dynamic load balancing. In the algorithm, types of geographical information service are matched with the corresponding server group, then the RED algorithm is combined with the method of double threshold effectively to judge the load state of serve node, finally the service is scheduled based on weighted probabilistic in a certain period. At the last, an experiment system is built based on cluster server, which proves the effectiveness of the method presented in this paper.

Residential segregation of socioeconomic variables and health indices in Iran

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Seyed Saeed Hashemi Nazari

2013-01-01

Conclusions: Correlation of segregation of determinants of socioeconomic status with segregation of health indices is an indicator of existence of hot zones of health problems across some provinces. Further studies using multilevel modeling and individual data in health outcomes at individual level and segregation measures at appropriate geographic levels are required to confirm these relations.

HEALTH GeoJunction: place-time-concept browsing of health publications.

Science.gov (United States)

MacEachren, Alan M; Stryker, Michael S; Turton, Ian J; Pezanowski, Scott

2010-05-18

The volume of health science publications is escalating rapidly. Thus, keeping up with developments is becoming harder as is the task of finding important cross-domain connections. When geographic location is a relevant component of research reported in publications, these tasks are more difficult because standard search and indexing facilities have limited or no ability to identify geographic foci in documents. This paper introduces HEALTH GeoJunction, a web application that supports researchers in the task of quickly finding scientific publications that are relevant geographically and temporally as well as thematically. HEALTH GeoJunction is a geovisual analytics-enabled web application providing: (a) web services using computational reasoning methods to extract place-time-concept information from bibliographic data for documents and (b) visually-enabled place-time-concept query, filtering, and contextualizing tools that apply to both the documents and their extracted content. This paper focuses specifically on strategies for visually-enabled, iterative, facet-like, place-time-concept filtering that allows analysts to quickly drill down to scientific findings of interest in PubMed abstracts and to explore relations among abstracts and extracted concepts in place and time. The approach enables analysts to: find publications without knowing all relevant query parameters, recognize unanticipated geographic relations within and among documents in multiple health domains, identify the thematic emphasis of research targeting particular places, notice changes in concepts over time, and notice changes in places where concepts are emphasized. PubMed is a database of over 19 million biomedical abstracts and citations maintained by the National Center for Biotechnology Information; achieving quick filtering is an important contribution due to the database size. Including geography in filters is important due to rapidly escalating attention to geographic factors in public

HEALTH GeoJunction: place-time-concept browsing of health publications

Directory of Open Access Journals (Sweden)

Turton Ian J

2010-05-01

Full Text Available Abstract Background The volume of health science publications is escalating rapidly. Thus, keeping up with developments is becoming harder as is the task of finding important cross-domain connections. When geographic location is a relevant component of research reported in publications, these tasks are more difficult because standard search and indexing facilities have limited or no ability to identify geographic foci in documents. This paper introduces HEALTH GeoJunction, a web application that supports researchers in the task of quickly finding scientific publications that are relevant geographically and temporally as well as thematically. Results HEALTH GeoJunction is a geovisual analytics-enabled web application providing: (a web services using computational reasoning methods to extract place-time-concept information from bibliographic data for documents and (b visually-enabled place-time-concept query, filtering, and contextualizing tools that apply to both the documents and their extracted content. This paper focuses specifically on strategies for visually-enabled, iterative, facet-like, place-time-concept filtering that allows analysts to quickly drill down to scientific findings of interest in PubMed abstracts and to explore relations among abstracts and extracted concepts in place and time. The approach enables analysts to: find publications without knowing all relevant query parameters, recognize unanticipated geographic relations within and among documents in multiple health domains, identify the thematic emphasis of research targeting particular places, notice changes in concepts over time, and notice changes in places where concepts are emphasized. Conclusions PubMed is a database of over 19 million biomedical abstracts and citations maintained by the National Center for Biotechnology Information; achieving quick filtering is an important contribution due to the database size. Including geography in filters is important due to

The Geographic Extent of Global Supply Chains

DEFF Research Database (Denmark)

Machikita, Tomohiro; Ueki, Yasushi

2012-01-01

We study the extent to which inter-firm relationships are locally concentrated and what determines firm differences in geographic proximity to domestic or foreign suppliers and customers. From micro-data on selfreported customer and supplier data of firms in Indonesia, the Philippines, Thailand, ...

Design and Establishment of Quality Model of Fundamental Geographic Information Database

Science.gov (United States)

Ma, W.; Zhang, J.; Zhao, Y.; Zhang, P.; Dang, Y.; Zhao, T.

2018-04-01

In order to make the quality evaluation for the Fundamental Geographic Information Databases(FGIDB) more comprehensive, objective and accurate, this paper studies and establishes a quality model of FGIDB, which formed by the standardization of database construction and quality control, the conformity of data set quality and the functionality of database management system, and also designs the overall principles, contents and methods of the quality evaluation for FGIDB, providing the basis and reference for carry out quality control and quality evaluation for FGIDB. This paper designs the quality elements, evaluation items and properties of the Fundamental Geographic Information Database gradually based on the quality model framework. Connected organically, these quality elements and evaluation items constitute the quality model of the Fundamental Geographic Information Database. This model is the foundation for the quality demand stipulation and quality evaluation of the Fundamental Geographic Information Database, and is of great significance on the quality assurance in the design and development stage, the demand formulation in the testing evaluation stage, and the standard system construction for quality evaluation technology of the Fundamental Geographic Information Database.

GIS and public health

National Research Council Canada - National Science Library

Cromley, Ellen K; McLafferty, Sara

2012-01-01

...s. The book presents state-of-the-art methods for mapping and analyzing data on population, health events, risk factors, and health services, and for incorporating geographical knowledge into planning and policy...

Thematic cartography as a geographical application

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Drago Perko

2002-12-01

Full Text Available A thematic map may be a geographical application (tool in itself or the basis for some other geographical work. The development of Slovene thematic cartography accelerated considerably following the independence of the country in 1991. From the viewpoint of content and technology, its greatest achievements are the Geographical Atlas of Slovenia and the National Atlas of Slovenia, which are outstanding achievements at the international level and of great significance for the promotion of Slovenia and Slovene geography and cartography. However, this rapid development has been accompanied by numerous problems, for example, the ignoring of various Slovene and international conventions for the preparation of maps including United Nations resolutions, Slovene and international (SIST ISO, and copyright laws.

Geographic profiling and animal foraging.

Science.gov (United States)

Le Comber, Steven C; Nicholls, Barry; Rossmo, D Kim; Racey, Paul A

2006-05-21

Geographic profiling was originally developed as a statistical tool for use in criminal cases, particularly those involving serial killers and rapists. It is designed to help police forces prioritize lists of suspects by using the location of crime scenes to identify the areas in which the criminal is most likely to live. Two important concepts are the buffer zone (criminals are less likely to commit crimes in the immediate vicinity of their home) and distance decay (criminals commit fewer crimes as the distance from their home increases). In this study, we show how the techniques of geographic profiling may be applied to animal data, using as an example foraging patterns in two sympatric colonies of pipistrelle bats, Pipistrellus pipistrellus and P. pygmaeus, in the northeast of Scotland. We show that if model variables are fitted to known roost locations, these variables may be used as numerical descriptors of foraging patterns. We go on to show that these variables can be used to differentiate patterns of foraging in these two species.

Public and private dental services in NSW: a geographic information system analysis of access to care for 7 million Australians.

Science.gov (United States)

Willie-Stephens, Jenny; Kruger, Estie; Tennant, Marc

2014-06-01

To investigate the distribution of public and private dental practices in NSW in relation to population distribution and socioeconomic status. Dental practices (public and private) were mapped and overlayed with Census data on Collection District population and Socio-Economic Indexes for Areas (SEIFA). Overall, there was an uneven geographic distribution of public and private dental practices across NSW. When the geographic distribution was compared to population socioeconomics it was found that in rural NSW, 12% of the most disadvantaged residents lived further than 50km from a public dental practice, compared to 0% of the least disadvantaged. In Sydney, 9% of the three most disadvantaged groups lived greater than 7.5km from a public dental practice, compared to 21% of the three least disadvantaged groups. The findings of this study can contribute to informing decisions to determine future areas for focus of dental resource development (infrastructure and workforce) and identifying subgroups in the population (who are geographically isolated from accessing care) where public health initiatives focused on amelioration of disease consequences should be a focus.

Demarcation of local neighborhoods to study relations between contextual factors and health

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Chor Dora

2010-06-01

Full Text Available Abstract Background Several studies have highlighted the importance of collective social factors for population health. One of the major challenges is an adequate definition of the spatial units of analysis which present properties potentially related to the target outcomes. Political and administrative divisions of urban areas are the most commonly used definition, although they suffer limitations in their ability to fully express the neighborhoods as social and spatial units. Objective This study presents a proposal for defining the boundaries of local neighborhoods in Rio de Janeiro city. Local neighborhoods are constructed by means of aggregation of contiguous census tracts which are homogeneous regarding socioeconomic indicators. Methodology Local neighborhoods were created using the SKATER method (TerraView software. Criteria used for socioeconomic homogeneity were based on four census tract indicators (income, education, persons per household, and percentage of population in the 0-4-year age bracket considering a minimum population of 5,000 people living in each local neighborhood. The process took into account the geographic boundaries between administrative neighborhoods (a political-administrative division larger than a local neighborhood, but smaller than a borough and natural geographic barriers. Results The original 8,145 census tracts were collapsed into 794 local neighborhoods, distributed along 158 administrative neighborhoods. Local neighborhoods contained a mean of 10 census tracts, and there were an average of five local neighborhoods per administrative neighborhood. The local neighborhood units demarcated in this study are less socioeconomically heterogeneous than the administrative neighborhoods and provide a means for decreasing the well-known statistical variability of indicators based on census tracts. The local neighborhoods were able to distinguish between different areas within administrative neighborhoods

Demarcation of local neighborhoods to study relations between contextual factors and health.

Science.gov (United States)

Santos, Simone M; Chor, Dora; Werneck, Guilherme Loureiro

2010-06-29

Several studies have highlighted the importance of collective social factors for population health. One of the major challenges is an adequate definition of the spatial units of analysis which present properties potentially related to the target outcomes. Political and administrative divisions of urban areas are the most commonly used definition, although they suffer limitations in their ability to fully express the neighborhoods as social and spatial units. This study presents a proposal for defining the boundaries of local neighborhoods in Rio de Janeiro city. Local neighborhoods are constructed by means of aggregation of contiguous census tracts which are homogeneous regarding socioeconomic indicators. Local neighborhoods were created using the SKATER method (TerraView software). Criteria used for socioeconomic homogeneity were based on four census tract indicators (income, education, persons per household, and percentage of population in the 0-4-year age bracket) considering a minimum population of 5,000 people living in each local neighborhood. The process took into account the geographic boundaries between administrative neighborhoods (a political-administrative division larger than a local neighborhood, but smaller than a borough) and natural geographic barriers. The original 8,145 census tracts were collapsed into 794 local neighborhoods, distributed along 158 administrative neighborhoods. Local neighborhoods contained a mean of 10 census tracts, and there were an average of five local neighborhoods per administrative neighborhood.The local neighborhood units demarcated in this study are less socioeconomically heterogeneous than the administrative neighborhoods and provide a means for decreasing the well-known statistical variability of indicators based on census tracts. The local neighborhoods were able to distinguish between different areas within administrative neighborhoods, particularly in relation to squatter settlements. Although the literature on

Geographic analysis of the variation in the incidence of ADHD in a country with free access to healthcare

DEFF Research Database (Denmark)

Madsen, Kathrine Bang; Ersbøll, Annette Kjær; Olsen, Jørn

2015-01-01

and individual tracking based on unique personal identification may in particular contribute to our understanding of the reasons for this increase. Based on Danish registers we aimed to examine the geographical patterns of the distribution of ADHD diagnosis and medication use and explore the association...... between neighbouring municipalities, no significant associations were found between ADHD and access to diagnostic services, different diagnostic culture, socioeconomic status at municipality level or the municipal spending on health care for children. CONCLUSIONS: A large geographical variation of ADHD...

National Geographic Education. An Interview with Gilbert M. Grosvenor, President and Chairman of the Board, National Geographic Society.

Science.gov (United States)

Jumper, Sidney R.

1991-01-01

Presents an interview with Gilbert Grosvenor, president and chairman of the board of the National Geographic Society. Examines student and public ignorance about geography. Describes the Society's Geography Education Project, Geographic Alliance Project, and Education Foundation. Includes Grosvenor's call for greater emphasis on geography in…

A cross-sectional ecological study of spatial scale and geographic inequality in access to drinking-water and sanitation.

Science.gov (United States)

Yu, Weiyu; Bain, Robert E S; Mansour, Shawky; Wright, Jim A

2014-11-26

Measuring inequality in access to safe drinking-water and sanitation is proposed as a component of international monitoring following the expiry of the Millennium Development Goals. This study aims to evaluate the utility of census data in measuring geographic inequality in access to drinking-water and sanitation. Spatially referenced census data were acquired for Colombia, South Africa, Egypt, and Uganda, whilst non-spatially referenced census data were acquired for Kenya. Four variants of the dissimilarity index were used to estimate geographic inequality in access to both services using large and small area units in each country through a cross-sectional, ecological study. Inequality was greatest for piped water in South Africa in 2001 (based on 53 areas (N) with a median population (MP) of 657,015; D = 0.5599) and lowest for access to an improved water source in Uganda in 2008 (N = 56; MP = 419,399; D = 0.2801). For sanitation, inequality was greatest for those lacking any facility in Kenya in 2009 (N = 158; MP = 216,992; D = 0.6981), and lowest for access to an improved facility in Uganda in 2002 (N = 56; MP = 341,954; D = 0.3403). Although dissimilarity index values were greater for smaller areal units, when study countries were ranked in terms of inequality, these ranks remained unaffected by the choice of large or small areal units. International comparability was limited due to definitional and temporal differences between censuses. This five-country study suggests that patterns of inequality for broad regional units do often reflect inequality in service access at a more local scale. This implies household surveys designed to estimate province-level service coverage can provide valuable insights into geographic inequality at lower levels. In comparison with household surveys, censuses facilitate inequality assessment at different spatial scales, but pose challenges in harmonising water and sanitation typologies across countries.

What influences national and foreign physicians' geographic distribution? An analysis of medical doctors' residence location in Portugal.

Science.gov (United States)

Russo, Giuliano; Ferrinho, Paulo; de Sousa, Bruno; Conceição, Cláudia

2012-07-02

The debate over physicians' geographical distribution has attracted the attention of the economic and public health literature over the last forty years. Nonetheless, it is still to date unclear what influences physicians' location, and whether foreign physicians contribute to fill the geographical gaps left by national doctors in any given country. The present research sets out to investigate the current distribution of national and international physicians in Portugal, with the objective to understand its determinants and provide an evidence base for policy-makers to identify policies to influence it. A cross-sectional study of physicians currently registered in Portugal was conducted to describe the population and explore the association of physician residence patterns with relevant personal and municipality characteristics. Data from the Portuguese Medical Council on physicians' residence and characteristics were analysed, as well as data from the National Institute of Statistics on municipalities' population, living standards and health care network. Descriptive statistics, chi-square tests, negative binomial and logistic regression modelling were applied to determine: (a) municipality characteristics predicting Portuguese and International physicians' geographical distribution, and; (b) doctors' characteristics that could increase the odds of residing outside the country's metropolitan areas. There were 39,473 physicians in Portugal in 2008, 51.1% of whom male, and 40.2% between 41 and 55 years of age. They were predominantly Portuguese (90.5%), with Spanish, Brazilian and African nationalities also represented. Population, Population's Purchasing Power, Nurses per capita and Municipality Development Index (MDI) were the municipality characteristics displaying the strongest association with national physicians' location. For foreign physicians, the MDI was not statistically significant, while municipalities' foreign population applying for residence

What influences national and foreign physicians’ geographic distribution? An analysis of medical doctors’ residence location in Portugal

Directory of Open Access Journals (Sweden)

Russo Giuliano

2012-07-01

Full Text Available Abstract Background The debate over physicians’ geographical distribution has attracted the attention of the economic and public health literature over the last forty years. Nonetheless, it is still to date unclear what influences physicians’ location, and whether foreign physicians contribute to fill the geographical gaps left by national doctors in any given country. The present research sets out to investigate the current distribution of national and international physicians in Portugal, with the objective to understand its determinants and provide an evidence base for policy-makers to identify policies to influence it. Methods A cross-sectional study of physicians currently registered in Portugal was conducted to describe the population and explore the association of physician residence patterns with relevant personal and municipality characteristics. Data from the Portuguese Medical Council on physicians’ residence and characteristics were analysed, as well as data from the National Institute of Statistics on municipalities’ population, living standards and health care network. Descriptive statistics, chi-square tests, negative binomial and logistic regression modelling were applied to determine: (a municipality characteristics predicting Portuguese and International physicians’ geographical distribution, and; (b doctors’ characteristics that could increase the odds of residing outside the country’s metropolitan areas. Results There were 39,473 physicians in Portugal in 2008, 51.1% of whom male, and 40.2% between 41 and 55 years of age. They were predominantly Portuguese (90.5%, with Spanish, Brazilian and African nationalities also represented. Population, Population’s Purchasing Power, Nurses per capita and Municipality Development Index (MDI were the municipality characteristics displaying the strongest association with national physicians’ location. For foreign physicians, the MDI was not statistically significant

Geographic distribution of phlebotomine sandfly species (Diptera: Psychodidae) in Central-West Brazil

Science.gov (United States)

de Almeida, Paulo Silva; de Andrade, Andrey José; Sciamarelli, Alan; Raizer, Josué; Menegatti, Jaqueline Aparecida; Hermes, Sandra Cristina Negreli Moreira; de Carvalho, Maria do Socorro Laurentino; Gurgel-Gonçalves, Rodrigo

2015-01-01

This study updates the geographic distributions of phlebotomine species in Central-West Brazil and analyses the climatic factors associated with their occurrence. The data were obtained from the entomology services of the state departments of health in Central-West Brazil, scientific collections and a literature review of articles from 1962-2014. Ecological niche models were produced for sandfly species with more than 20 occurrences using the Maxent algorithm and eight climate variables. In all, 2,803 phlebotomine records for 127 species were analysed. Nyssomyia whitmani, Evandromyia lenti and Lutzomyia longipalpis were the species with the greatest number of records and were present in all the biomes in Central-West Brazil. The models, which were produced for 34 species, indicated that the Cerrado areas in the central and western regions of Central-West Brazil were climatically more suitable to sandflies. The variables with the greatest influence on the models were the temperature in the coldest months and the temperature seasonality. The results show that phlebotomine species in Central-West Brazil have different geographical distribution patterns and that climate conditions in essentially the entire region favour the occurrence of at least one Leishmania vector species, highlighting the need to maintain or intensify vector control and surveillance strategies. PMID:26018450

Europeans among themselves: Geographical and linguistic stereotypes

NARCIS (Netherlands)

Mamadouh, V.D.; Dąbrowska, A.; Pisarek, W.; Stickel, G.

2017-01-01

Stereotypes can be studied from the perspective of political geography and critical geopolitics as part of geographical imaginations, in other words those geopolitical representations that help us make sense of the world around us. They necessarily frame our perception of ongoing events, and inform

The research on data organization technology in the highway geographic information system

Science.gov (United States)

Tian, Zhihui; Wu, Fang; Zeng, Yuhuai

2008-10-01

Data are the basis of GIS. It has direct impact on the efficiency and function of a Highway Geographic Information System (HGIS), because of the characteristics of data model and data organization of the traffic geographic information system such as spatial property, multi-path network, linearity. This paper discussed the data property of HGIS, studied and presented the HGIS spatial data on multi-source and model. Also, it described and verified highway geographical feature of special subject data's linearity, dynamic and multiple-path network property in HGIS.

Social Networks and Health Among Older Adults in Lebanon: The Mediating Role of Support and Trust

Science.gov (United States)

Antonucci, Toni C.; Ajrouch, Kristine J.; Abdulrahim, Sawsan

2015-01-01

Objectives. Despite a growing body of literature documenting the influence of social networks on health, less is known in other parts of the world. The current study investigates this link by clustering characteristics of network members nominated by older adults in Lebanon. We then identify the degree to which various types of people exist within the networks. This study further examines how network composition as measured by the proportion of each type (i.e., type proportions) is related to health; and the mediating role of positive support and trust in this process. Method. Data are from the Family Ties and Aging Study (2009). Respondents aged ≥60 were selected (N = 195) for analysis. Results. Three types of people within the networks were identified: Geographically Distant Male Youth, Geographically Close/Emotionally Distant Family, and Close Family. Having more Geographically Distant Male Youth in one’s network was associated with health limitations, whereas more Close Family was associated with no health limitations. Positive support mediated the link between type proportions and health limitations, whereas trust mediated the link between type proportions and depressive symptoms. Discussion. Results document links between the social networks and health of older adults in Lebanon within the context of ongoing demographic transitions. PMID:25324295

Cartography and Geographic Information Science in Current Contents

Directory of Open Access Journals (Sweden)

Nedjeljko Frančula

2009-12-01

Full Text Available The Cartography and Geographic Information Science (CaGIS journal was published as The American Cartographer from 1974 to 1989, after that as Cartography and Geographic Information System, and since then has been published with its current name. It is published by the Cartography and Geographic Information Society, a member of the American Congress on Surveying and Mapping.

Differences in healthy life expectancy for the US population by sex, race/ethnicity and geographic region: 2008.

Science.gov (United States)

Chang, Man-Huei; Molla, Michael T; Truman, Benedict I; Athar, Heba; Moonesinghe, Ramal; Yoon, Paula W

2015-09-01

Healthy life expectancy (HLE) varies among demographic segments of the US population and by geography. To quantify that variation, we estimated the national and regional HLE for the US population by sex, race/ethnicity and geographic region in 2008. National HLEs were calculated using the published 2008 life table and the self-reported health status data from the National Health Interview Survey (NHIS). Regional HLEs were calculated using the combined 2007-09 mortality, population and NHIS health status data. In 2008, HLE in the USA varied significantly by sex, race/ethnicity and geographical regions. At 25 years of age, HLE for females was 47.3 years and ∼2.9 years greater than that for males at 44.4 years. HLE for non-Hispanic white adults was 2.6 years greater than that for Hispanic adults and 7.8 years greater than that for non-Hispanic black adults. By region, the Northeast had the longest HLE and the South had the shortest. The HLE estimates in this report can be used to monitor trends in the health of populations, compare estimates across populations and identify health inequalities that require attention. Published by Oxford University Press on behalf of Faculty of Public Health 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Changes in geographic variation in the uptake of cervical cancer screening in Taiwan: possible effects of "leadership style factor"?

Science.gov (United States)

Chiou, Shu-Ti; Lu, Tsung-Hsueh

2014-01-01

Wennberg proposed the "practice style factor" to explain the large variations in the use of medical care. As a corollary, we propose the "leadership style factor" of the director of the city/county bureau of public health to explain changes in geographic variation in the uptake of cervical cancer screening. We first calculated the triennial Pap smear rates for women aged 30-69 years from 1997 through 2010 for each city/county in Taiwan and the rate difference and rate ratio between the highest and the lowest city/county to illustrate the geographic variation in the uptake of cervical cancer screening. We then created an expert panel to conduct a hypothesis generation process to examine the possible effects of "leadership style factors" in explaining the changes. The Pap smear rate in Taiwan as a whole was 35% in 1997 and increased to 56% in 2001, and was then stable until 2010 (55%). In 2002, the geographic variation in the Pap smear rate was the smallest, ranging from 49% in Penghu County to 63% in I-lan County, with a rate ratio of 1.28. Unfortunately, the rate ratio increased to 1.49 in 2010, the rate being lowest in Penghu County (42%) and highest in Tainan City (63%). We identified four cities/counties with unique patterns of change in Pap smear rates, which were highly associated with the leadership style of the director of the city/county bureau of public health. Despite the launch of an organized cancer screening program in Taiwan, geographic variation in the uptake of cervical cancer screening still exists and has increased during the past decade. The "leadership style factor" of the director of the city/county bureau of public health might play a plausible role in explaining the pattern of change in geographic variation in the use of cervical cancer screening in Taiwan. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Geographical imbalances and divides in the scientific production of climate change knowledge

DEFF Research Database (Denmark)

Pasgaard, Maya; Dalsgaard, Bo; Maruyama, Pietro K.

2015-01-01

Studies on scientific production of climate change knowledge show a geographical bias against the developing and more vulnerable regions of the world. If there is limited knowledge exchange between regions, this may deepen global knowledge divides and, thus, potentially hamper adaptive capacities....... Consequently, there is a need to further understand this bias, and, particularly, link it with the exchange of knowledge across borders. We use a world-wide geographical distribution of author affiliations in > 15,000 scientific climate change publications to show that (1) research production mainly takes...... are determined mainly by geographical proximity, common climates, and similar political and economic characteristics. This indicates that political-economic, social and educational-scientific initiatives targeted to enhance local research production and collaborations across geographical-climate module borders...

Airports Geographic Information System -

Data.gov (United States)

Department of Transportation — The Airports Geographic Information System maintains the airport and aeronautical data required to meet the demands of the Next Generation National Airspace System....

Hierarchical spatial organization of geographical networks

International Nuclear Information System (INIS)

Travencolo, Bruno A N; Costa, Luciano da F

2008-01-01

In this work, we propose a hierarchical extension of the polygonality index as the means to characterize geographical planar networks. By considering successive neighborhoods around each node, it is possible to obtain more complete information about the spatial order of the network at progressive spatial scales. The potential of the methodology is illustrated with respect to synthetic and real geographical networks

Accessible Transportation, Geographic Elevation, and Masticatory Ability Among Elderly Residents of a Rural Area.

Science.gov (United States)

Hamano, Tsuyoshi; Tominaga, Kazumichi; Takeda, Miwako; Sundquist, Kristina; Nabika, Toru

2015-06-26

Given that public transportation networks are often worse in rural areas than in urban areas, rural residents who do not drive can find it difficult to access health-promoting goods, services, and resources related to masticatory ability. Moreover, geographical location, assessed by elevation, could modify this association. The aim of this study was to test whether the association between access to transportation and masticatory ability varied by elevation. Data were collected from a cross-sectional study conducted in Mizuho and Iwami counties, Japan. Objective masticatory ability was evaluated using a test gummy jelly and elevation was estimated by the geographic information systems according to the participant's address. After excluding subjects with missing data, 672 subjects (Mizuho = 401 and Iwami = 271) were analyzed. After adjustment for potential confounders, being a driver was not significantly associated with masticatory ability among elderly people living at low elevation (≤313 m) in Mizuho county. However, after the same adjustment, being a driver remained significantly associated with increased masticatory ability among elderly at high elevations. Similar findings were observed in Iwami county. Accessible transportation was significantly associated with increased mastication ability in elderly people living at high elevations, but not in those living at low elevations.

Accessible Transportation, Geographic Elevation, and Masticatory Ability Among Elderly Residents of a Rural Area

Directory of Open Access Journals (Sweden)

Tsuyoshi Hamano

2015-06-01

Full Text Available Given that public transportation networks are often worse in rural areas than in urban areas, rural residents who do not drive can find it difficult to access health-promoting goods, services, and resources related to masticatory ability. Moreover, geographical location, assessed by elevation, could modify this association. The aim of this study was to test whether the association between access to transportation and masticatory ability varied by elevation. Data were collected from a cross-sectional study conducted in Mizuho and Iwami counties, Japan. Objective masticatory ability was evaluated using a test gummy jelly and elevation was estimated by the geographic information systems according to the participant’s address. After excluding subjects with missing data, 672 subjects (Mizuho = 401 and Iwami = 271 were analyzed. After adjustment for potential confounders, being a driver was not significantly associated with masticatory ability among elderly people living at low elevation (≤313 m in Mizuho county. However, after the same adjustment, being a driver remained significantly associated with increased masticatory ability among elderly at high elevations. Similar findings were observed in Iwami county. Accessible transportation was significantly associated with increased mastication ability in elderly people living at high elevations, but not in those living at low elevations.

Postings and transfers in the Ghanaian health system: a study of health workforce governance.

Science.gov (United States)

Kwamie, Aku; Asiamah, Miriam; Schaaf, Marta; Agyepong, Irene Akua

2017-09-15

Decision-making on postings and transfers - that is, the geographic deployment of the health workforce - is a key element of health workforce governance. When poorly managed, postings and transfers result in maldistribution, absenteeism, and low morale. At stake is managing the balance between organisational (i.e., health system) and individual (i.e., staff preference) needs. The negotiation of this potential convergence or divergence of interests provides a window on practices of postings and transfers, and on the micro-practices of governance in health systems more generally. This article explores the policies and processes, and the interplay between formal and informal rules and norms which underpin postings and transfers practice in two rural districts in the Greater Accra Region of Ghana. Semi-structured interviews were conducted with eight district managers and 87 frontline staff from the district health administration, district hospital, polyclinic, health centres and community outreach compounds across two districts. Interviews sought to understand how the postings and transfers process works in practice, factors in frontline staff and district manager decision-making, personal experiences in being posted, and study leave as a common strategy for obtaining transfers. Differential negotiation-spaces at regional and district level exist and inform postings and transfers in practice. This is in contrast to the formal cascaded rules set to govern decision-making authority for postings and transfers. Many frontline staff lack policy clarity of postings and transfers processes and thus 'test' the system through informal staff lobbying, compounding staff perception of the postings and transfers process as being unfair. District managers are also challenged with limited decision-space embedded in broader policy contexts of systemic hierarchy and resource dependence. This underscores the negotiation process as ongoing, rather than static. These findings point to

A MODEL OF PARTNERSHIP PROJECT FOR HEALTH AND COMMUNITY DEVELOPMENT BETWEEN UNIVERSITY OF PITESTI AND A RURAL POPULATION, FROM A DISADVANTAGED GEOGRAPHICAL AREA

Directory of Open Access Journals (Sweden)

Constantin Ciucurel

2016-07-01

Full Text Available The purpose of this project aimed to apply a sanogenetic intervention on a rural population, from a disadvantaged geographical area. 50 students in Physical Therapy and 4 teachers were involved in assessment and intervention activities for optimization of the individual and collective health status of inhabitants of a village located in the Caras-Severin district, in the Cerna Mountains. The project results consisted in: a database regarding the health of the subjects; a model of therapeutic education and promoting of a healthy lifestyle among inhabitants; creating a network of social interaction among project participants; professional and transversal skills development of students; developing research skills of teachers. The activities referred to: subjects health assessment (medical diagnostic, anthropometric and physiometric measurements; recommending and implementing of programs of kinetic prophylaxis and rehabilitation; conducting activities to provide opportunities for social interaction and support. The project offered also the possibility of optimizing the students training by developing their professional skills of assessment and physiotherapeutic intervention, their transversal skills of teamwork, respect for the principles for professional ethics and self-assessment of needs for professional training and also for developing good inter-institutional relations, designed to facilitate the development of specific research activities, in benefit of both parts.

Application of GIS technology in public health: successes and challenges.

Science.gov (United States)

Fletcher-Lartey, Stephanie M; Caprarelli, Graziella

2016-04-01

The uptake and acceptance of Geographic Information Systems (GIS) technology has increased since the early 1990s and public health applications are rapidly expanding. In this paper, we summarize the common uses of GIS technology in the public health sector, emphasizing applications related to mapping and understanding of parasitic diseases. We also present some of the success stories, and discuss the challenges that still prevent a full scope application of GIS technology in the public health context. Geographical analysis has allowed researchers to interlink health, population and environmental data, thus enabling them to evaluate and quantify relationships between health-related variables and environmental risk factors at different geographical scales. The ability to access, share and utilize satellite and remote-sensing data has made possible even wider understanding of disease processes and of their links to the environment, an important consideration in the study of parasitic diseases. For example, disease prevention and control strategies resulting from investigations conducted in a GIS environment have been applied in many areas, particularly in Africa. However, there remain several challenges to a more widespread use of GIS technology, such as: limited access to GIS infrastructure, inadequate technical and analytical skills, and uneven data availability. Opportunities exist for international collaboration to address these limitations through knowledge sharing and governance.

Geographic variation in health IT and health care outcomes: A snapshot before the meaningful use incentive program began.

Science.gov (United States)

McLaughlin, Catherine G; Lammers, Eric

2015-03-01

The 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act, which includes the Meaningful Use (MU) incentive program, was designed to increase the adoption of health information technology (IT) by physicians and hospitals. Policymakers hope that increased use of health IT to exchange health information will in turn enhance the quality and efficiency of health care delivery. In this study, we analyze the extent to which key outcomes vary based on the levels of health ITness among physicians and hospitals before the HITECH and MU programs led to increases in adoption and changes in use. Our findings provide an important baseline for a future evaluation of the impact of these programs on population-level outcomes. We constructed measures of the degree of hospital and physician adoption and use ("health ITness") at the level of the hospital referral region (HRR). We used data from the 2010 IT Supplement of the American Hospital Association (AHA) Annual Survey of Hospitals to capture hospital health ITness and data from the 2010 survey of ambulatory health care sites produced by SK&A Information Services for the physician measure. We conducted cross-sectional analyses of the relationship between market-level Medicare costs and use and three measures: (1) physician health ITness, (2) hospital health ITness, and (3) an overall measure of health ITness. In general, greater levels of physician health ITness are associated with decreasing costs and use. Many of these relationships lose statistical significance, however, when we control for population and market characteristics such as the average age and health status of Medicare beneficiaries, mean household income, and the HMO penetration rate. Several of the relationships also change according to the level of hospital health ITness. Our findings suggest that greater levels of physician health ITness are associated with decreasing costs and use for a number of services, including inpatient costs

Recruiting black Americans in a large cohort study: the Adventist Health Study-2 (AHS-2) design, methods and participant characteristics.

Science.gov (United States)

Herring, R Patti; Butler, Terry; Hall, Sonja; Montgomery, Susanne B; Fraser, Gary E

2010-01-01

The goal of the prospective Adventist Health Study-2 (AHS-2) was to examine the relationship between diet and risk of breast, prostate and colon cancers in Black and White participants. This paper describes the study design, recruitment methods, response rates, and characteristics of Blacks in the AHS-2, thus providing insights about effective strategies to recruit Blacks to participate in research studies. We designed a church-based recruitment model and trained local recruiters who used various strategies to recruit participants in their churches. Participants completed a 50-page self-administered dietary and lifestyle questionnaire. Participants are Black Seventh-day Adventists, aged 30-109 years, and members of 1,209 Black churches throughout the United States and Canada. Approximately 48,328 Blacks from an estimated target group of over 90,000 signed up for the study and 25,087 completed the questionnaire, comprising about 26% of the larger 97,000 AHS-2-member cohort. Participants were diverse in age, geographic location, education, and income. Seventy percent were female with a median age of 59 years. In spite of many recruitment challenges and barriers, we successfully recruited a large cohort whose data should provide some answers as to why Blacks have poorer health outcomes than several other ethnic groups, and help explain existing health disparities.

[Study on the Identification of Geographical Indication Wuchang Rice Based on the Content of Inorganic Elements].

Science.gov (United States)

Li, Yong-le; Zheng, Yan-jie; Tang, Lu; Su, Zhi-yi; Xiong, Cen

2016-03-01

Wuchang rice is a geographical indication product in China. Due to its high quality and low production, the phenome- non of fake is more and more serious. An effective identification method of Wuchang rice is urgent needed, for the maintenance of its brand image and interest of consumers. Base on the content of inorganic elements which are analyzed by ICP-AES and ICP-MS in rice, the identification model of Wuchang rice is studied combining with principal component analysis (PCA), Fisher discrimination and artificial neural network (ANN) in this paper. The effect on the identification of samples is poor through PCA, while the samples from Wuchang area and other areas can be identified accurately through Fisher discrimination and ANN. The average accurate identification ratio of training and verification set through Fisher discrimination is 93.5%, while the average accurate identification ratio through ANN is 96.4%. The ability to identify of ANN is better than Fisher discrimination. Wuchang rice can be identified accurately through the result of this research which provides a technology for the protection of geographical indications of this product.

Exploring the potentials of volunteered geographic Information as a source for spatial data acquisition

International Nuclear Information System (INIS)

Ariffin, Izyana; Solemon, Badariah; Anwar, Rina Md; Din, Marina Md; Azmi, Nor Nashrah

2014-01-01

The advancement of technologies nowadays enables participation by nonprofessionals, known as volunteers to participate in producing, sharing and consuming geographic information. Such information, termed as volunteered geographic Information (VGI) has created a new approach of gathering geographic information. This paper discusses the traditional way of acquiring geographic information and potentials of VGI as an information source in GIS applications. We also review four commonly cited applications which rely on volunteers for their geographic information based on five criteria; the geometry type available in the applications, availability of user profile, average number of attributes used in the applications, data type of the information (raster or vector) and the domain the application belongs to. This review serves as a preliminarv study in designing a GIS application used for asset management which aims at exploiting volunteers to produce geographic information related to assets

Multiple sclerosis: a geographical hypothesis.

Science.gov (United States)

Carlyle, I P

1997-12-01

Multiple sclerosis remains a rare neurological disease of unknown aetiology, with a unique distribution, both geographically and historically. Rare in equatorial regions, it becomes increasingly common in higher latitudes; historically, it was first clinically recognized in the early nineteenth century. A hypothesis, based on geographical reasoning, is here proposed: that the disease is the result of a specific vitamin deficiency. Different individuals suffer the deficiency in separate and often unique ways. Evidence to support the hypothesis exists in cultural considerations, in the global distribution of the disease, and in its historical prevalence.

Geographical assemblages of European raptors and owls

Science.gov (United States)

López-López, Pascual; Benavent-Corai, José; García-Ripollés, Clara

2008-09-01

In this work we look for geographical structure patterns in European raptors (Order: Falconiformes) and owls (Order: Strigiformes). For this purpose we have conducted our research using freely available tools such as statistical software and databases. To perform the study, presence-absence data for the European raptors and owl species (Class Aves) were downloaded from the BirdLife International website. Using the freely available "pvclust" R-package, we applied similarity Jaccard index and cluster analysis in order to delineate biogeographical relationships for European countries. According to the cluster of similarity, we found that Europe is structured into two main geographical assemblages. The larger length branch separated two main groups: one containing Iceland, Greenland and the countries of central, northern and northwestern Europe, and the other group including the countries of eastern, southern and southwestern Europe. Both groups are divided into two main subgroups. According to our results, the European raptors and owls could be considered structured into four meta-communities well delimited by suture zones defined by Remington (1968) [Remington, C.L., 1968. Suture-zones of hybrid interaction between recently joined biotas. Evol. Biol. 2, 321-428]. Climatic oscillations during the Quaternary Ice Ages could explain at least in part the modern geographical distribution of the group.

Implementations of geographically weighted lasso in spatial data with multicollinearity (Case study: Poverty modeling of Java Island)

Science.gov (United States)

Setiyorini, Anis; Suprijadi, Jadi; Handoko, Budhi

2017-03-01

Geographically Weighted Regression (GWR) is a regression model that takes into account the spatial heterogeneity effect. In the application of the GWR, inference on regression coefficients is often of interest, as is estimation and prediction of the response variable. Empirical research and studies have demonstrated that local correlation between explanatory variables can lead to estimated regression coefficients in GWR that are strongly correlated, a condition named multicollinearity. It later results on a large standard error on estimated regression coefficients, and, hence, problematic for inference on relationships between variables. Geographically Weighted Lasso (GWL) is a method which capable to deal with spatial heterogeneity and local multicollinearity in spatial data sets. GWL is a further development of GWR method, which adds a LASSO (Least Absolute Shrinkage and Selection Operator) constraint in parameter estimation. In this study, GWL will be applied by using fixed exponential kernel weights matrix to establish a poverty modeling of Java Island, Indonesia. The results of applying the GWL to poverty datasets show that this method stabilizes regression coefficients in the presence of multicollinearity and produces lower prediction and estimation error of the response variable than GWR does.

Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis.

Science.gov (United States)

Chung, Ill-Min; Kim, Jae-Kwang; Lee, Kyoung-Jin; Park, Sung-Kyu; Lee, Ji-Hee; Son, Na-Young; Jin, Yong-Ik; Kim, Seung-Hyun

2018-02-01

Rice (Oryza sativa L.) is the world's third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged asan important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice of six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were δ 34 S, Mn, and Mg. Our findings contribute to understanding the variations of elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

Dynamic management of geographic data in a virtual environment