International Journal of Environmental Research and Public Health · 2014 · 59 citations · 76 references
ComputingGeographyHuman GeographySpatial AnalysisSpatial ModelingSpatial StatisticsBayesian Disease MappingBayesian Spatial AnalysisIntimate Partner Violence PreventionSpatial Disease MappingSpatial Distribution Of DiseaseSpatial Statistical ModelingDisease Risk MappingDisorderIntimate Partner Violence InterventionNeighborhood-level Urban AnalysisPhysical DisorderSpatial Bayesian ModelingSpatial Epidemiology ModelingSpatial Random Effects Models
This paper uses spatial data of cases of intimate partner violence against women (IPVAW) to examine neighborhood-level influences on small-area variations in IPVAW risk in a police district of the city of Valencia (Spain). To analyze area variations in IPVAW risk and its association with neighborhood-level explanatory variables we use a Bayesian spatial random-effects modeling approach, as well as disease mapping methods to represent risk probabilities in each area. Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder. Results also show a spatial component indicating remaining variability attributable to spatially structured random effects. Bayesian spatial modeling offers a new perspective to identify IPVAW high and low risk areas, and provides a new avenue for the design of better-informed prevention and intervention strategies.
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