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

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

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dc.contributor.author Gracia, Enrique
dc.contributor.author López i Quílez, Antoni
dc.contributor.author Marco, M.
dc.contributor.author Lladosa, S.
dc.contributor.author Lila, Marisol
dc.date.accessioned 2014-01-14T08:53:36Z
dc.date.available 2014-01-14T08:53:36Z
dc.date.issued 2014
dc.identifier.citation Gracia Fuster, Enrique; López i Quílez, Antoni; Marco, M.; Lladosa, S.; Lila, Marisol (2014) Exploring Neighborhood Influences on Small-Area Variations in Intimate Partner Violence Risk: A Bayesian Random-Effects Modeling Approach International Journal of Environmental Research and Public Health 11 866 882
dc.identifier.uri http://hdl.handle.net/10550/32222
dc.description.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.
dc.relation.ispartof International Journal of Environmental Research and Public Health, 2014, vol. 11, p. 866-882
dc.title Exploring Neighborhood Influences on Small-Area Variations in Intimate Partner Violence Risk: A Bayesian Random-Effects Modeling Approach
dc.type journal article es_ES
dc.date.updated 2014-01-14T08:53:36Z
dc.identifier.idgrec 092991
dc.rights.accessRights open access es_ES

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