Analysis of the correlation of socioeconomic, sanitary, and demographic factors with homicide deaths - Bahia, Brazil, 2013-2015

Souza, Tiago Oliveira de; Souza, Edinilsa Ramos de; Pinto, Liana Wernersbach

doi:10.1590/0034-7167-2019-0346

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Several works carried out in the state of Bahia discusses violence, these studies mainly address domestic violence and violence against the elderly, which are linked to gender and also the economic/financial issues (Miura et al, 2018;Montesanti & Thurston, 2015). However, there are few studies focused on financial and economy violence in one of the states with the highest homicide rate in the country (Souza et al, 2020). According to the World Health Organization (WHO), efforts to prevent violence at regional levels are necessary, given that the sub-regional strengthening of data collection and dissemination work contributes to revealing the real extent of the problem (Barata et al, 2008;WHO, 2014) (Barata et al, 2008;WHO, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal distribution of financial/economic violence in a northeastern state of Brazil

Reis,

Ramos,

Bezerra

et al. 2024

RSD

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The Ministry of Health defines economic-financial violence (FEV) as destructive actions or omissions of the aggressor that affect the emotional health and survival of family members. Thus, the objective of this research was to analyze the spatio-temporal distribution of FEV in the state of Bahia, Northeastern Brazil. An ecological, time series study (2010-2018) was conducted, using spatio-temporal analysis tools. As a result, we observed that most cases of FEV occurred among women and the chances of the occurrence are higher in households, in adults and the elderly, in addition, there was an increasing trend of cases among males. We identified a heterogeneous distribution in the Bahian territory suggesting the inexistence of a distribution pattern of violence. However, in the spatial-temporal analysis high risk clusters were observed in the south-central region of the state. This work made it possible to identify areas of risk for the occurrence of AFV, especially in the south-central region of Bahia. Besides characterizing the victimized population, such as adults and the elderly being the most likely to suffer this type of violence.

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Section: Introductionmentioning

confidence: 99%

Spatio-temporal distribution of financial/economic violence in a northeastern state of Brazil

Reis,

Ramos,

Bezerra

et al. 2024

RSD

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“…In Recife, northeast of Brazil, positive relationships with homicide were found for inequality, rented houses and quantity of people (Pereira et al , 2017). In Bahia, northeast of Brazil, positive associations were found between homicides and income, unemployment, education and inequality (Souza et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Temporal evolution of homicide mortality in Brazilian capitals from 2005 to 2019

Rodrigues

Lino

Bastos

et al. 2021

JACPR

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Purpose This study aims to improve our understanding of violence, focusing on the analysis of the relation between socioeconomic factors and homicide rates from 2005 to 2019 in Brazilian capitals. Design/methodology/approach Multilevel Poisson models were used to estimate the homicide risk in men and women. The response variable was the homicide rate. Fixed effects were estimated for age group, year and gross domestic product (GDP). Findings The average homicide rate over the 2005–2019 period was 5.83/100,000 and 83.72/100,000 for women and men, respectively. In both sexes, the homicide rates increased over the period. The highest mortality rates were observed in North and Northeastern capitals. The peak homicide rates were 2010–2014, the risk of homicide decreased as age increased, and the capitals with GDP lower than US$5,000 showed a greater homicide rate. Originality/value Brazil remains among the countries with the highest risk of homicide, especially in the north and northeast regions, where socioeconomic conditions are more unfavorable. The improvement of socioeconomic conditions may contribute to changing this situation.

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Homicide rates are spatially associated with built environment and socio-economic factors: a study in the neighbourhoods of Toronto, Canada

et al. 2022

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Objectives Homicide rate is associated with a large variety of factors and therefore unevenly distributed over time and space. This study aims to explore homicide patterns and their spatial associations with different socioeconomic and built-environment conditions in 140 neighbourhoods of the city of Toronto, Canada. Methods A homicide dataset covering the years 2012 to 2021 and neighbourhood-based indicators were analysed using spatial techniques such as Kernel Density Estimation, Global/Local Moran’s I and Kulldorff’s SatScan spatio-temporal methodology. Geographically weighted regression (GWR) and multi-scale GWR (MGWR) were used to analyse the spatially varying correlations between the homicide rate and independent variables. The latter was particularly suitable for manifested spatial variations between explanatory variables and the homicide rate and it also identified spatial non-stationarities in this connection. Results The adjusted R2 of the MGWR was 0.53, representing a 4.35 and 3.74% increase from that in the linear regression and GWR models, respectively. Spatial and spatio-temporal high-risk areas were found to be significantly clustered in downtown and the north-western parts of the city. Some variables (e.g., the population density, material deprivation, the density of commercial establishments and the density of large buildings) were significantly associated with the homicide rate in different spatial ways. Conclusion The findings of this study showed that homicide rates were clustered over time and space in certain areas of the city. Socioeconomic and the built environment characteristics of some neighbourhoods were found to be associated with high homicide rates but these factors were different for each neighbourhood.

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Analysis of the correlation of socioeconomic, sanitary, and demographic factors with homicide deaths - Bahia, Brazil, 2013-2015

Cited by 3 publications

References 8 publications

Spatio-temporal distribution of financial/economic violence in a northeastern state of Brazil

Spatio-temporal distribution of financial/economic violence in a northeastern state of Brazil

Temporal evolution of homicide mortality in Brazilian capitals from 2005 to 2019

Homicide rates are spatially associated with built environment and socio-economic factors: a study in the neighbourhoods of Toronto, Canada

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