2018
DOI: 10.1136/bmjopen-2017-018437
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Regional disparities in the intimate partner sexual violence rate against women in Paraná State, Brazil, 2009-2014: an ecological study

Abstract: ObjectiveEvaluate disparities in a Brazilian state by conducting an analysis to determine whether socioeconomic status was associated with the reported intimate partner sexual violence (IPSV) rates against women.DesignA retrospective, ecological study.SettingsData retrieved from the Notifiable Diseases Information System database of the Ministry of Health of Brazil.ParticipantsAll cases of IPSV (n=516) against women aged 15–49 years reported in the Notifiable Diseases Information System between 2009 and 2014.O… Show more

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Cited by 29 publications
(31 citation statements)
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“…In the southern state of Paraná, our region of interest, IPVAW clustered mostly around the southern part of the state with one cluster in the northern mesoregion. [16] In the southeastern city of São Paulo, lifetime prevalence of physical violence was 27.2% compared to the rural northeastern province of Zona da Mata de Pernambuco (33.8%). In both these areas, physical violence was more prevalent than sexual violence (10.1% in São Paulo and 14.3% in Zona da Mata de Pernambuco).…”
Section: Introductionmentioning
confidence: 99%
“…In the southern state of Paraná, our region of interest, IPVAW clustered mostly around the southern part of the state with one cluster in the northern mesoregion. [16] In the southeastern city of São Paulo, lifetime prevalence of physical violence was 27.2% compared to the rural northeastern province of Zona da Mata de Pernambuco (33.8%). In both these areas, physical violence was more prevalent than sexual violence (10.1% in São Paulo and 14.3% in Zona da Mata de Pernambuco).…”
Section: Introductionmentioning
confidence: 99%
“…In the exploratory analysis of spatial data, the empirical Bayesian estimator was used to minimize possible random fluctuations of the rates derived from municipalities with small populations (20)(21) , since the estimator calculates a weighted rate considering regional variances (20)(21)(22)(23) . The matrix of queen weights in the GeoDa software (v. 1.10.0.8), which considers all the neighborhoods, was used for this (21)(22)(23) .…”
Section: Analysis Of Results and Statisticsmentioning
confidence: 99%
“…The GWR method, in turn, has its coefficients estimated locally, from the spatial variability in each area. Thus, initially, the coefficients of each variable that were significant in the general model (OLS) were tested in the local model (GWR) (21,27) .…”
Section: Analysis Of Results and Statisticsmentioning
confidence: 99%
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“…The application of crime mapping to model spatial patterns of VAW has only gained attention in recent years (Manazir et al 2019;Mohamed and Stanek 2019;Serendipia 2019;Fontes et al 2018). One development has been the creation of apps for informing female users of potential areas of risk, based on user reports of events of violence (Muldoon et al 2019 Padilla et al 2018).…”
Section: Spatial Analysis To Aid Crime Preventionmentioning
confidence: 99%