Work

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

Year: 2014

Type: article

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.

Source: International Journal of Environmental Research and Public Health

DOI: 10.3390/ijerph110100866

Authors: Enrique Gracia, Antonio López-Quílez, Miriam Marco, Silvia Lladosa, Marisol Lila

Institution: Universitat de València

Language: English

Topic: Intimate Partner and Family Violence

Subfield: Health

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Peace, justice, and strong institutions, Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $3,016