exploring neighborhood influences on small-area variations in intimate partner violence risk: a bayesian random-effects modeling approach

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ID: 194447
2014
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Abstract
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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gracia2014internationalexploring Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Enrique Gracia;Antonio López-Quílez;Miriam Marco;Silvia Lladosa;Marisol Lila
Journal archives of biochemistry and biophysics
Year 2014
DOI
10.3390/ijerph110100866
URL
http://www.mdpi.com/1660-4601/11/1/866
Keywords
neighborhoods social environment crime intimate partner violence disorder immigration social disorganizationmedicine

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