The Spatial Epidemiology of Intimate Partner Violence: Do Neighborhoods Matter?

Gracia, Enrique; López‐Quílez, Antonio; Marco, Miriam; Lladosa, Silvia; Lila, Marisol

doi:10.1093/aje/kwv016

Cited by 82 publications

(120 citation statements)

References 61 publications

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“…The risk of violence can increase among immigrant women due to their legal and economic situation and to different barriers to accessing information and support services (Martinez-Roman, Vives-Cases and Pérez-Belda, 2017). Intimate partner violence was found to be higher in physically disordered and decaying neighborhoods and in neighborhoods with low educational and economic status levels, high levels of public disorder and crime, and high concentrations of immigrants (Gracia et al, 2015).…”

Section: Prevalence Of Violence Against Migrant Womenmentioning

confidence: 94%

A preliminary analysis of gender violence among migrants and displaced people in Europe

Boira¹,

Nudelman²,

Tsomaia³

2018

ARS

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Background. The vulnerability of migrant women, especially those coming from patriarchal societies, leads to the increase of gender violence. This is incremented by a myriad of socioecological determinants related to the immigration process and to the nature of male-female relationships. Objectives. The main objective is to conduct a preliminary analysis of recent publications dealing with the relations between gender violence and migrant populations in the European Union, including internally displaced people. Materials and methods. This paper is based on a revision of scientific publications from SCOPUS that relate to migrant women who are victims of gender violence in the European Union. The qualitative thematic analysis was used in order to identify the main issues targeted in the articles. Results. The thematic analysis of the studies reviewed dealing with migration and gender violence highlighted several important themes, including prevalence of violence against migrant women; the forms and contexts of gender violence; the impact of legal, economic environments and sociocultural barriers; the influence of conflict and war; the impact and consequences of violence, especially on women's mental health, as well as strategies and suggestions for interventions. Conclusions. Increasing the awareness of migration, regarding the conflicts and problems experienced by migrants (of both genders), could enable health and legal authorities to offer more significant culture and gender sensitive services, thus reducing gender violence.

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Section: Prevalence Of Violence Against Migrant Womenmentioning

confidence: 94%

A preliminary analysis of gender violence among migrants and displaced people in Europe

Boira¹,

Nudelman²,

Tsomaia³

2018

ARS

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“…Research has found that concentrated disadvantage is the factor most strongly associated with crime, even after controlling for individual characteristics [1,8]. Immigration has also been related to crime rates, and previous research has shown that higher levels of ethnic heterogeneity are related to higher levels of crime [1,9,10]. Residential instability is also a relevant factor in social disorganization theory.…”

Section: Introductionmentioning

confidence: 99%

“…Most research has focused on residential burglary [13][14][15], juvenile delinquency [16,17], homicides [1,18,19], and robbery and assaults [18,19]. Interest is also growing in studying this relationship in other crimes that tends to occur 'behind closed doors' [20] such as intimate partner violence [9,10] or child maltreatment [21].…”

Section: Introductionmentioning

confidence: 99%

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Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis

Marco

Gracia

López‐Quílez

2017

IJGI

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Abstract:This paper aimed to analyze the spatial distribution of drug-related police interventions and the neighborhood characteristics influencing these spatial patterns. To this end, police officers ranked each census block group in Valencia, Spain (N = 552), providing an index of drug-related police interventions. Data from the City Statistics Office and observational variables were used to analyze neighborhood characteristics. Distance to the police station was used as the control variable. A Bayesian ecological analysis was performed with a spatial beta regression model. Results indicated that high physical decay, low socioeconomic status, and high immigrant concentration were associated with high levels of drug-related police interventions after adjustment for distance to the police station. Results illustrate the importance of a spatial approach to understanding crime.

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“…A small but growing body of research has adopted Bayesian spatial modeling approaches in crime analysis [10][11][12][13][14][15][16][17]. For example, researchers using Bayesian spatial models have investigated contextual influences on domestic violence [12,15,18], juvenile offenders [14] and property crime [13].…”

Section: Introductionmentioning

confidence: 99%

Joint Modeling of Multiple Crimes: A Bayesian Spatial Approach

Liu

Zhu

2017

IJGI

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A multivariate Bayesian spatial modeling approach was used to jointly model the counts of two types of crime, i.e., burglary and non-motor vehicle theft, and explore the geographic pattern of crime risks and relevant risk factors. In contrast to the univariate model, which assumes independence across outcomes, the multivariate approach takes into account potential correlations between crimes. Six independent variables are included in the model as potential risk factors. In order to fully present this method, both the multivariate model and its univariate counterpart are examined. We fitted the two models to the data and assessed them using the deviance information criterion. A comparison of the results from the two models indicates that the multivariate model was superior to the univariate model. Our results show that population density and bar density are clearly associated with both burglary and non-motor vehicle theft risks and indicate a close relationship between these two types of crime. The posterior means and 2.5% percentile of type-specific crime risks estimated by the multivariate model were mapped to uncover the geographic patterns. The implications, limitations and future work of the study are discussed in the concluding section.

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The Spatial Epidemiology of Intimate Partner Violence: Do Neighborhoods Matter?

Cited by 82 publications

References 61 publications

A preliminary analysis of gender violence among migrants and displaced people in Europe

A preliminary analysis of gender violence among migrants and displaced people in Europe

Linking Neighborhood Characteristics and Drug-Related Police Interventions: A Bayesian Spatial Analysis

Joint Modeling of Multiple Crimes: A Bayesian Spatial Approach

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