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International Journal of Health Geographics

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https://www.readbyqxmd.com/read/27884135/online-platform-for-applying-space-time-scan-statistics-for-prospectively-detecting-emerging-hot-spots-of-dengue-fever
#1
Chien-Chou Chen, Yung-Chu Teng, Bo-Cheng Lin, I-Chun Fan, Ta-Chien Chan
BACKGROUND: Cases of dengue fever have increased in areas of Southeast Asia in recent years. Taiwan hit a record-high 42,856 cases in 2015, with the majority in southern Tainan and Kaohsiung Cities. Leveraging spatial statistics and geo-visualization techniques, we aim to design an online analytical tool for local public health workers to prospectively identify ongoing hot spots of dengue fever weekly at the village level. METHODS: A total of 57,516 confirmed cases of dengue fever in 2014 and 2015 were obtained from the Taiwan Centers for Disease Control (TCDC)...
November 25, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27846889/using-expert-decision-making-to-establish-indicators-of-urban-friendliness-for-walking-environments-a-multidisciplinary-assessment
#2
Yen-Cheng Chiang, Han-Yu Lei
BACKGROUND: Numerous studies have suggested that friendly walking environments positively affect physical activity and health. Creating friendly walking environments in urban areas is a complex and wide-ranging topic, and no study has yet established a set of assessment indicators by drawing on the expertise of various disciplines. This study uses a multiple-criteria decision-making technique to elucidate the environmental factors that affect the friendliness of the walking environment...
November 15, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27846881/using-an-audit-tool-maps-global-to-assess-the-characteristics-of-the-physical-environment-related-to-walking-for-transport-in-youth-reliability-of-belgian-data
#3
Griet Vanwolleghem, Ariane Ghekiere, Greet Cardon, Ilse De Bourdeaudhuij, Sara D'Haese, Carrie M Geremia, Matthieu Lenoir, James F Sallis, Hannah Verhoeven, Delfien Van Dyck
BACKGROUND: The aim was to examine inter-rater and alternate-form reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS) Global tool to assess the physical environment along likely walking routes in Belgium. METHODS: For 65 children participating in the BEPAS-children study, routes between their individual homes and the nearest pre-defined destination were defined. Using MAPS Global, physical environmental characteristics of the routes were audited by 4 trained auditors (2 on-site, 2 online using Google Street View)...
November 15, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27846880/residential-area-characteristics-and-disabilities-among-dutch-community-dwelling-older-adults
#4
Astrid Etman, Carlijn B M Kamphuis, Frank H Pierik, Alex Burdorf, Frank J Van Lenthe
BACKGROUND: Living longer independently may be facilitated by an attractive and safe residential area, which stimulates physical activity. We studied the association between area characteristics and disabilities and whether this association is mediated by transport-related physical activity (TPA). METHODS: Longitudinal data of 271 Dutch community-dwelling adults aged 65 years and older participating in the Elderly And their Neighbourhood (ELANE) study in 2011-2013 were used...
November 15, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27825351/determining-the-spatial-heterogeneity-underlying-racial-and-ethnic-differences-in-timely-mammography-screening
#5
Joseph Gibbons, Melody K Schiaffino
BACKGROUND: The leading cause of cancer death for women worldwide continues to be breast cancer. Early detection through timely mammography has been recognized to increase the probability of survival. While mammography rates have risen for many women in recent years, disparities in screening along racial/ethnic lines persist across nations. In this paper, we argue that the role of local context, as identified through spatial heterogeneity, is an unexplored dynamic which explains some of the gaps in mammography utilization by race/ethnicity...
November 8, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27809861/do-the-risk-factors-for-type-2-diabetes-mellitus-vary-by-location-a-spatial-analysis-of-health-insurance-claims-in-northeastern-germany-using-kernel-density-estimation-and-geographically-weighted-regression
#6
Boris Kauhl, Jürgen Schweikart, Thomas Krafft, Andrea Keste, Marita Moskwyn
BACKGROUND: The provision of general practitioners (GPs) in Germany still relies mainly on the ratio of inhabitants to GPs at relatively large scales and barely accounts for an increased prevalence of chronic diseases among the elderly and socially underprivileged populations. Type 2 Diabetes Mellitus (T2DM) is one of the major cost-intensive diseases with high rates of potentially preventable complications. Provision of healthcare and access to preventive measures is necessary to reduce the burden of T2DM...
November 3, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27776514/optimal-health-and-disease-management-using-spatial-uncertainty-a-geographic-characterization-of-emergent-artemisinin-resistant-plasmodium-falciparum-distributions-in-southeast-asia
#7
Eric P M Grist, Jennifer A Flegg, Georgina Humphreys, Ignacio Suay Mas, Tim J C Anderson, Elizabeth A Ashley, Nicholas P J Day, Mehul Dhorda, Arjen M Dondorp, M Abul Faiz, Peter W Gething, Tran T Hien, Tin M Hlaing, Mallika Imwong, Jean-Marie Kindermans, Richard J Maude, Mayfong Mayxay, Marina McDew-White, Didier Menard, Shalini Nair, Francois Nosten, Paul N Newton, Ric N Price, Sasithon Pukrittayakamee, Shannon Takala-Harrison, Frank Smithuis, Nhien T Nguyen, Kyaw M Tun, Nicholas J White, Benoit Witkowski, Charles J Woodrow, Rick M Fairhurst, Carol Hopkins Sibley, Philippe J Guerin
BACKGROUND: Artemisinin-resistant Plasmodium falciparum malaria parasites are now present across much of mainland Southeast Asia, where ongoing surveys are measuring and mapping their spatial distribution. These efforts require substantial resources. Here we propose a generic 'smart surveillance' methodology to identify optimal candidate sites for future sampling and thus map the distribution of artemisinin resistance most efficiently. METHODS: The approach uses the 'uncertainty' map generated iteratively by a geostatistical model to determine optimal locations for subsequent sampling...
October 24, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27717358/smokesalud-exploring-the-effect-of-demographic-change-on-the-smoking-prevalence-at-municipality-level-in-austria
#8
Melanie Tomintz, Bernhard Kosar, Graham Clarke
BACKGROUND: Reducing the smoking population is still high on the policy agenda, as smoking leads to many preventable diseases, such as lung cancer, heart disease, diabetes, and more. In Austria, data on smoking prevalence only exists at the federal state level. This provides an interesting overview about the current health situation, but for regional planning authorities these data are often insufficient as they can hide pockets of high and low smoking prevalence in certain municipalities...
October 7, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27716312/characterizing-physical-activity-and-food-urban-environments-a-gis-based-multicomponent-proposal
#9
Alba Cebrecos, Julia Díez, Pedro Gullón, Usama Bilal, Manuel Franco, Francisco Escobar
BACKGROUND: Healthier urban environments influence the distribution of cardiovascular risk factors. Our aim was to design and implement a multicomponent method based on Geographic Information Systems to characterize and evaluate environmental correlates of obesity: the food and the physical activity urban environments. METHODS: Study location comprised a socio-demographically average urban area of 12 contiguous census sections (≈16,000 residents), in Madrid, Spain...
October 4, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27678070/geographic-dimensions-of-a-health-network-dedicated-to-occupational-and-work-related-diseases
#10
Marie Delaunay, Vincent Godard, Mélina Le Barbier, Annabelle Gilg Soit Ilg, Cédric Aubert, Anne Maître, Damien Barbeau, Vincent Bonneterre
BACKGROUND: Although introduced nearly 40 years ago, Geographic Information Systems (GISs) have never been used to study Occupational Health information regarding the different types, scale or sources of data. The geographic distribution of occupational diseases and underlying work activities were always analyzed independently. Our aim was to consider the French Network of Occupational Disease (OD) clinics, namely the "French National OD Surveillance and Prevention Network" (rnv3p) as a spatial object in order to describe its catchment...
September 27, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/26892310/is-the-closest-facility-the-one-actually-used-an-assessment-of-travel-time-estimation-based-on-mammography-facilities
#11
Jennifer Alford-Teaster, Jane M Lange, Rebecca A Hubbard, Christoph I Lee, Jennifer S Haas, Xun Shi, Heather A Carlos, Louise Henderson, Deirdre Hill, Anna N A Tosteson, Tracy Onega
BACKGROUND: Characterizing geographic access depends on a broad range of methods available to researchers and the healthcare context to which the method is applied. Globally, travel time is one frequently used measure of geographic access with known limitations associated with data availability. Specifically, due to lack of available utilization data, many travel time studies assume that patients use the closest facility. To examine this assumption, an example using mammography screening data, which is considered a geographically abundant health care service in the United States, is explored...
February 18, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/26754188/the-use-of-national-administrative-data-to-describe-the-spatial-distribution-of-in-hospital-mortality-following-stroke-in-france-2008-2011
#12
Adrien Roussot, Jonathan Cottenet, Maryse Gadreau, Maurice Giroud, Yannick Béjot, Catherine Quantin
BACKGROUND: In the context of implementing the National Stroke Plan in France, a spatial approach was used to measure inequalities in this disease. Using the national PMSI-MCO databases, we analyzed the in-hospital prevalence of stroke and established a map of in-hospital mortality rates with regard to the socio-demographic structure of the country. METHODS: The principal characteristics of patients identified according to ICD10 codes relative to stroke (in accordance with earlier validation work) were studied...
January 11, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/26739310/anonymisation-of-geographical-distance-matrices-via-lipschitz-embedding
#13
Martin Kroll, Rainer Schnell
BACKGROUND: Anonymisation of spatially referenced data has received increasing attention in recent years. Whereas the research focus has been on the anonymisation of point locations, the disclosure risk arising from the publishing of inter-point distances and corresponding anonymisation methods have not been studied systematically. METHODS: We propose a new anonymisation method for the release of geographical distances between records of a microdata file--for example patients in a medical database...
January 7, 2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27649755/comparison-of-methods-to-estimate-water-access-a-pilot-study-of-a-gps-based-approach-in-low-resource-settings
#14
Amber L Pearson
BACKGROUND: Most water access studies involve self-reported measures such as time spent or simple spatial measures such as Euclidean distance from home to source. GPS-based measures of access are often considered actual access and have shown little correlation with self-reported measures. One main obstacle to widespread use of GPS-based measurement of access to water has been technological limitations (e.g., battery life). As such, GPS-based measures have been limited by time and in sample size...
2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27586497/effects-of-health-intervention-programs-and-arsenic-exposure-on-child-mortality-from-acute-lower-respiratory-infections-in-rural-bangladesh
#15
Warren C Jochem, Abdur Razzaque, Elisabeth Dowling Root
BACKGROUND: Respiratory infections continue to be a public health threat, particularly to young children in developing countries. Understanding the geographic patterns of diseases and the role of potential risk factors can help improve future mitigation efforts. Toward this goal, this paper applies a spatial scan statistic combined with a zero-inflated negative-binomial regression to re-examine the impacts of a community-based treatment program on the geographic patterns of acute lower respiratory infection (ALRI) mortality in an area of rural Bangladesh...
2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27586362/which-environmental-factors-most-strongly-influence-a-street-s-appeal-for-bicycle-transport-among-adults-a-conjoint-study-using-manipulated-photographs
#16
Lieze Mertens, Delfien Van Dyck, Ariane Ghekiere, Ilse De Bourdeaudhuij, Benedicte Deforche, Nico Van de Weghe, Jelle Van Cauwenberg
BACKGROUND: Micro-environmental factors (specific features within a streetscape), instead of macro-environmental factors (urban planning features), are more feasible to modify in existing neighborhoods and thus more practical to target for environmental interventions. Because it is often not possible to change the whole micro-environment at once, the current study aims to determine which micro-environmental factors should get the priority to target in physical environmental interventions increasing bicycle transport...
2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27558383/the-spatial-structure-of-chronic-morbidity-evidence-from-uk-census-returns
#17
Peter F Dutey-Magni, Graham Moon
BACKGROUND: Disease prevalence models have been widely used to estimate health, lifestyle and disability characteristics for small geographical units when other data are not available. Yet, knowledge is often lacking about how to make informed decisions around the specification of such models, especially regarding spatial assumptions placed on their covariance structure. This paper is concerned with understanding processes of spatial dependency in unexplained variation in chronic morbidity...
2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27550019/do-marginalized-neighbourhoods-have-less-healthy-retail-food-environments-an-analysis-using-bayesian-spatial-latent-factor-and-hurdle-models
#18
Hui Luan, Leia M Minaker, Jane Law
BACKGROUND: Findings of whether marginalized neighbourhoods have less healthy retail food environments (RFE) are mixed across countries, in part because inconsistent approaches have been used to characterize RFE 'healthfulness' and marginalization, and researchers have used non-spatial statistical methods to respond to this ultimately spatial issue. METHODS: This study uses in-store features to categorize healthy and less healthy food outlets. Bayesian spatial hierarchical models are applied to explore the association between marginalization dimensions and RFE healthfulness (i...
2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27510908/visual-analytics-of-geo-social-interaction-patterns-for-epidemic-control
#19
Wei Luo
BACKGROUND: Human interaction and population mobility determine the spatio-temporal course of the spread of an airborne disease. This research views such spreads as geo-social interaction problems, because population mobility connects different groups of people over geographical locations via which the viruses transmit. Previous research argued that geo-social interaction patterns identified from population movement data can provide great potential in designing effective pandemic mitigation...
2016: International Journal of Health Geographics
https://www.readbyqxmd.com/read/27488416/using-gini-coefficient-to-determining-optimal-cluster-reporting-sizes-for-spatial-scan-statistics
#20
Junhee Han, Li Zhu, Martin Kulldorff, Scott Hostovich, David G Stinchcomb, Zaria Tatalovich, Denise Riedel Lewis, Eric J Feuer
BACKGROUND: Spatial and space-time scan statistics are widely used in disease surveillance to identify geographical areas of elevated disease risk and for the early detection of disease outbreaks. With a scan statistic, a scanning window of variable location and size moves across the map to evaluate thousands of overlapping windows as potential clusters, adjusting for the multiple testing. Almost always, the method will find many very similar overlapping clusters, and it is not useful to report all of them...
2016: International Journal of Health Geographics
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