TY  - JOUR
PY  - 2014//
TI  - Exploring neighborhood influences on small-area variations in intimate partner violence risk: A Bayesian random-effects modeling approach
JO  - International journal of environmental research and public health
A1  - Gracia, Enrique
A1  - López-Quílez, Antonio
A1  - Marco, Miriam
A1  - Lladosa, Silvia
A1  - Lila, Marisol
SP  - 866
EP  - 882
VL  - 11
IS  - 1
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1661-7827
UR  - http://dx.doi.org/10.3390/ijerph110100866
ID  - ref1
ER  -