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International Journal of Health Geographics

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https://www.readbyqxmd.com/read/29329535/measurement-of-the-potential-geographic-accessibility-from-call-to-definitive-care-for-patient-with-acute-stroke
#1
J Freyssenge, F Renard, A M Schott, L Derex, N Nighoghossian, K Tazarourte, C El Khoury
BACKGROUND: The World Health Organization refers to stroke, the second most frequent cause of death in the world, in terms of pandemic. Present treatments are only effective within precise time windows. Only 10% of thrombolysis patients are eligible. Late assessment of the patient resulting from admission and lack of knowledge of the symptoms is the main explanation of lack of eligibility. METHODS: The aim is the measurement of the time of access to treatment facilities for stroke victims, using ambulances (firemen ambulances or EMS ambulances) and private car...
January 12, 2018: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29246157/spatial-smoothing-in-bayesian-models-a-comparison-of-weights-matrix-specifications-and-their-impact-on-inference
#2
Earl W Duncan, Nicole M White, Kerrie Mengersen
BACKGROUND: When analysing spatial data, it is important to account for spatial autocorrelation. In Bayesian statistics, spatial autocorrelation is commonly modelled by the intrinsic conditional autoregressive prior distribution. At the heart of this model is a spatial weights matrix which controls the behaviour and degree of spatial smoothing. The purpose of this study is to review the main specifications of the spatial weights matrix found in the literature, and together with some new and less common specifications, compare the effect that they have on smoothing and model performance...
December 16, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29228961/does-the-edge-effect-impact-on-the-measure-of-spatial-accessibility-to-healthcare-providers
#3
Fei Gao, Wahida Kihal, Nolwenn Le Meur, Marc Souris, Séverine Deguen
BACKGROUND: Spatial accessibility indices are increasingly applied when investigating inequalities in health. Although most studies are making mentions of potential errors caused by the edge effect, many acknowledge having neglected to consider this concern by establishing spatial analyses within a finite region, settling for hypothesizing that accessibility to facilities will be under-reported. Our study seeks to assess the effect of edge on the accuracy of defining healthcare provider access by comparing healthcare provider accessibility accounting or not for the edge effect, in a real-world application...
December 11, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29197383/analysis-of-population-level-determinants-of-legionellosis-spatial-and-geovisual-methods-for-enhancing-classification-of-high-risk-areas
#4
Jessie A Gleason, Kathleen M Ross, Rebecca D Greeley
BACKGROUND: Although the incidence of legionellosis throughout North America and Europe continues to increase, public health investigations have not been able to identify a common exposure in most cases. Over 80% of cases are sporadic with no known source. To better understand the role of the macro-environment in legionellosis risk, a retrospective ecological study assessed associations between population-level measures of demographic, socioeconomic, and environmental factors and high-risk areas...
December 2, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29191184/accessibility-of-general-and-specialized-obstetric-care-providers-in-germany-and-england-an-analysis-of-location-and-neonatal-outcome
#5
Jan Bauer, David A Groneberg, Werner Maier, Roxanne Manek, Frank Louwen, Dörthe Brüggmann
BACKGROUND: Health care accessibility is known to differ geographically. With this study we focused on analysing accessibility of general and specialized obstetric units in England and Germany with regard to urbanity, area deprivation and neonatal outcome using routine data. METHODS: We used a floating catchment area method to measure obstetric care accessibility, the degree of urbanization (DEGURBA) to measure urbanity and the index of multiple deprivation to measure area deprivation...
December 1, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29183340/mapping-outdoor-habitat-and-abnormally-small-newborns-to-develop-an-ambient-health-hazard-index
#6
Charlene C Nielsen, Carl G Amrhein, Alvaro R Osornio-Vargas
BACKGROUND: The geography of where pregnant mothers live is important for understanding outdoor environmental habitat that may result in adverse birth outcomes. We investigated whether more babies were born small for gestational age or low birth weight at term to mothers living in environments with a higher accumulation of outdoor hazards. METHODS: Live singleton births from the Alberta Perinatal Health Program, 2006-2012, were classified according to birth outcome, and used in a double kernel density estimation to determine ratios of each outcome per total births...
November 28, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29166908/mathematical-models-for-predicting-human-mobility-in-the-context-of-infectious-disease-spread-introducing-the-impedance-model
#7
Kankoé Sallah, Roch Giorgi, Linus Bengtsson, Xin Lu, Erik Wetter, Paul Adrien, Stanislas Rebaudet, Renaud Piarroux, Jean Gaudart
BACKGROUND: Mathematical models of human mobility have demonstrated a great potential for infectious disease epidemiology in contexts of data scarcity. While the commonly used gravity model involves parameter tuning and is thus difficult to implement without reference data, the more recent radiation model based on population densities is parameter-free, but biased. In this study we introduce the new impedance model, by analogy with electricity. Previous research has compared models on the basis of a few specific available spatial patterns...
November 22, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29137670/modelling-and-mapping-tick-dynamics-using-volunteered-observations
#8
Irene Garcia-Martí, Raúl Zurita-Milla, Arnold J H van Vliet, Willem Takken
BACKGROUND: Tick populations and tick-borne infections have steadily increased since the mid-1990s posing an ever-increasing risk to public health. Yet, modelling tick dynamics remains challenging because of the lack of data and knowledge on this complex phenomenon. Here we present an approach to model and map tick dynamics using volunteered data. This approach is illustrated with 9 years of data collected by a group of trained volunteers who sampled active questing ticks (AQT) on a monthly basis and for 15 locations in the Netherlands...
November 14, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29110677/using-meta-quality-to-assess-the-utility-of-volunteered-geographic-information-for-science
#9
Shaun A Langley, Joseph P Messina, Nathan Moore
BACKGROUND: Volunteered geographic information (VGI) has strong potential to be increasingly valuable to scientists in collaboration with non-scientists. The abundance of mobile phones and other wireless forms of communication open up significant opportunities for the public to get involved in scientific research. As these devices and activities become more abundant, questions of uncertainty and error in volunteer data are emerging as critical components for using volunteer-sourced spatial data...
November 6, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29084555/urban-rural-inequalities-in-suicide-mortality-a-comparison-of-urbanicity-indicators
#10
M Helbich, V Blüml, T de Jong, P L Plener, M-P Kwan, N D Kapusta
BACKGROUND: Urban-rural disparities in suicide mortality have received considerable attention. Varying conceptualizations of urbanity may contribute to the conflicting findings. This ecological study on Germany assessed how and to what extent urban-rural suicide associations are affected by 14 different urban-rural indicators. METHODS: Indicators were based on continuous or k-means classified population data, land-use data, planning typologies, or represented population-based accessibility indicators...
October 30, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29047364/mapping-child-maltreatment-risk-a-12-year-spatio-temporal-analysis-of-neighborhood-influences
#11
Enrique Gracia, Antonio López-Quílez, Miriam Marco, Marisol Lila
BACKGROUND: 'Place' matters in understanding prevalence variations and inequalities in child maltreatment risk. However, most studies examining ecological variations in child maltreatment risk fail to take into account the implications of the spatial and temporal dimensions of neighborhoods. In this study, we conduct a high-resolution small-area study to analyze the influence of neighborhood characteristics on the spatio-temporal epidemiology of child maltreatment risk. METHODS: We conducted a 12-year (2004-2015) small-area Bayesian spatio-temporal epidemiological study with all families with child maltreatment protection measures in the city of Valencia, Spain...
October 18, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/29037243/gardening-in-the-desert-a-spatial-optimization-approach-to-locating-gardens-in-rapidly-expanding-urban-environments
#12
Elizabeth A Mack, Daoqin Tong, Kevin Credit
BACKGROUND: Food access is a global issue, and for this reason, a wealth of studies are dedicated to understanding the location of food deserts and the benefits of urban gardens. However, few studies have linked these two strands of research together to analyze whether urban gardening activity may be a step forward in addressing issues of access for food desert residents. METHODS: The Phoenix, Arizona metropolitan area is used as a case to demonstrate the utility of spatial optimization models for siting urban gardens near food deserts and on vacant land...
October 16, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28974262/a-generic-method-for-improving-the-spatial-interoperability-of-medical-and-ecological-databases
#13
A Ghenassia, J B Beuscart, G Ficheur, F Occelli, E Babykina, E Chazard, M Genin
BACKGROUND: The availability of big data in healthcare and the intensive development of data reuse and georeferencing have opened up perspectives for health spatial analysis. However, fine-scale spatial studies of ecological and medical databases are limited by the change of support problem and thus a lack of spatial unit interoperability. The use of spatial disaggregation methods to solve this problem introduces errors into the spatial estimations. Here, we present a generic, two-step method for merging medical and ecological databases that avoids the use of spatial disaggregation methods, while maximizing the spatial resolution...
October 3, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28934989/small-area-distribution-of-multiple-sclerosis-incidence-in-western-france-in-search-of-environmental-triggers
#14
Karima Hammas, Jacqueline Yaouanq, Morgane Lannes, Gilles Edan, Jean-François Viel
BACKGROUND: Despite intensive research over several decades, the etiology of multiple sclerosis (MS) remains poorly understood, although environmental factors are supposedly implicated. Our goal was to identify spatial clusters of MS incident cases at the small-area level to provide clues to local environmental risk factors that might cause or trigger the disease. METHODS: A population-based and multi-stage study was performed in the French Brittany region to accurately ascertain the clinical onset of disease during the 2000-2004 period...
September 21, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28923070/univariate-and-multivariate-spatial-models-of-health-facility-utilisation-for-childhood-fevers-in-an-area-on-the-coast-of-kenya
#15
Paul O Ouma, Nathan O Agutu, Robert W Snow, Abdisalan M Noor
BACKGROUND: Precise quantification of health service utilisation is important for the estimation of disease burden and allocation of health resources. Current approaches to mapping health facility utilisation rely on spatial accessibility alone as the predictor. However, other spatially varying social, demographic and economic factors may affect the use of health services. The exclusion of these factors can lead to the inaccurate estimation of health facility utilisation. Here, we compare the accuracy of a univariate spatial model, developed only from estimated travel time, to a multivariate model that also includes relevant social, demographic and economic factors...
September 18, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28877706/does-exposure-to-the-food-environment-differ-by-socioeconomic-position-comparing-area-based-and-person-centred-metrics-in-the-fenland-study-uk
#16
Eva R Maguire, Thomas Burgoine, Tarra L Penney, Nita G Forouhi, Pablo Monsivais
BACKGROUND: Retail food environments (foodscapes) are a recognised determinant of eating behaviours and may contribute to inequalities in diet. However, findings from studies measuring socioeconomic inequality in the foodscape have been mixed, which may be due to methodological differences. The aim of this cross-sectional study was to compare exposure to the foodscape by socioeconomic position using different measures, to test whether the presence, direction or amplitude of differences was sensitive to the choice of foodscape metric or socioeconomic indicator...
September 6, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28830461/the-approaches-to-measuring-the-potential-spatial-access-to-urban-health-services-revisited-distance-types-and-aggregation-error-issues
#17
Philippe Apparicio, Jérémy Gelb, Anne-Sophie Dubé, Simon Kingham, Lise Gauvin, Éric Robitaille
BACKGROUND: The potential spatial access to urban health services is an important issue in health geography, spatial epidemiology and public health. Computing geographical accessibility measures for residential areas (e.g. census tracts) depends on a type of distance, a method of aggregation, and a measure of accessibility. The aim of this paper is to compare discrepancies in results for the geographical accessibility of health services computed using six distance types (Euclidean and Manhattan distances; shortest network time on foot, by bicycle, by public transit, and by car), four aggregation methods, and fourteen accessibility measures...
August 23, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28810908/relative-risk-estimation-of-dengue-disease-at-small-spatial-scale
#18
Daniel Adyro Martínez-Bello, Antonio López-Quílez, Alexander Torres Prieto
BACKGROUND: Dengue is a high incidence arboviral disease in tropical countries around the world. Colombia is an endemic country due to the favourable environmental conditions for vector survival and spread. Dengue surveillance in Colombia is based in passive notification of cases, supporting monitoring, prediction, risk factor identification and intervention measures. Even though the surveillance network works adequately, disease mapping techniques currently developed and employed for many health problems are not widely applied...
August 15, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28793901/mobility-assessment-of-a-rural-population-in-the-netherlands-using-gps-measurements
#19
Gijs Klous, Lidwien A M Smit, Floor Borlée, Roel A Coutinho, Mirjam E E Kretzschmar, Dick J J Heederik, Anke Huss
BACKGROUND: The home address is a common spatial proxy for exposure assessment in epidemiological studies but mobility may introduce exposure misclassification. Mobility can be assessed using self-reports or objectively measured using GPS logging but self-reports may not assess the same information as measured mobility. We aimed to assess mobility patterns of a rural population in the Netherlands using GPS measurements and self-reports and to compare GPS measured to self-reported data, and to evaluate correlates of differences in mobility patterns...
August 9, 2017: International Journal of Health Geographics
https://www.readbyqxmd.com/read/28784135/transforming-geographic-scale-a-comparison-of-combined-population-and-areal-weighting-to-other-interpolation-methods
#20
Elaine Hallisey, Eric Tai, Andrew Berens, Grete Wilt, Lucy Peipins, Brian Lewis, Shannon Graham, Barry Flanagan, Natasha Buchanan Lunsford
BACKGROUND: Transforming spatial data from one scale to another is a challenge in geographic analysis. As part of a larger, primary study to determine a possible association between travel barriers to pediatric cancer facilities and adolescent cancer mortality across the United States, we examined methods to estimate mortality within zones at varying distances from these facilities: (1) geographic centroid assignment, (2) population-weighted centroid assignment, (3) simple areal weighting, (4) combined population and areal weighting, and (5) geostatistical areal interpolation...
August 7, 2017: International Journal of Health Geographics
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