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Int. J. Environ. Res. Public Health 2014, 11(1), 866-882; doi:10.3390/ijerph110100866
Article

Exploring Neighborhood Influences on Small-Area Variations in Intimate Partner Violence Risk: A Bayesian Random-Effects Modeling Approach

1,* , 2
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1
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2
 and
1
1 Department of Social Psychology, University of Valencia, Valencia 46010, Spain 2 Department of Statistics and Operations Research, University of Valencia, Burjassot 46100, Spain
* Author to whom correspondence should be addressed.
Received: 28 November 2013 / Revised: 31 December 2013 / Accepted: 2 January 2014 / Published: 9 January 2014
(This article belongs to the Special Issue Spatial Epidemiology)
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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.
Keywords: Bayesian spatial modeling; crime; disorder; immigration; intimate partner violence; neighborhoods; social environment; social disorganization Bayesian spatial modeling; crime; disorder; immigration; intimate partner violence; neighborhoods; social environment; social disorganization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Gracia, E.; López-Quílez, A.; Marco, M.; Lladosa, S.; Lila, M. Exploring Neighborhood Influences on Small-Area Variations in Intimate Partner Violence Risk: A Bayesian Random-Effects Modeling Approach. Int. J. Environ. Res. Public Health 2014, 11, 866-882.

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