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Int J Environ Res Public Health. 2014 Jan 9;11(1):866-82. doi: 10.3390/ijerph110100866.

Exploring neighborhood influences on small-area variations in intimate partner violence risk: a Bayesian random-effects modeling approach.

Author information

1
Department of Social Psychology, University of Valencia, Valencia 46010, Spain. enrique.gracia@uv.es.
2
Department of Social Psychology, University of Valencia, Valencia 46010, Spain.
3
Department of Social Psychology, University of Valencia, Valencia 46010, Spain. mimar4@alumni.uv.es.
4
Department of Social Psychology, University of Valencia, Valencia 46010, Spain. silvia.lladosa@uv.es.
5
Department of Social Psychology, University of Valencia, Valencia 46010, Spain. marisol.lila@uv.es.

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.

PMID:
24413701
PMCID:
PMC3924479
DOI:
10.3390/ijerph110100866
[Indexed for MEDLINE]
Free PMC Article

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