Journal
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Volume 11, Issue 1, Pages 866-882Publisher
MDPI AG
DOI: 10.3390/ijerph110100866
Keywords
Bayesian spatial modeling; crime; disorder; immigration; intimate partner violence; neighborhoods; social environment; social disorganization
Funding
- Spanish Women's Institute (Instituto de la Mujer, Ministerio de Sanidad, Servicios Sociales e Igualdad)
- European Social Fund
- Ministerio de Educacion y Ciencia [MTM2010-19528]
- European Regional Development Fund
- Generalitat Valenciana [ACOMP/2013/152]
- [154/12]
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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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