The geography of femicide in Sergipe, Brazil: matriarchy, human development and income distribution
Keywords:Homicide, Gender-Based Violence, Mortality, Epidemiology, Ecological Studies, Spatial Analysis
Objective: This research analyzed the joint spatial distribution and explored possible associations between epidemiological aspects and feminicide rates, in the municipalities of the State of Sergipe located into northeastern Brazilian. Methodology: An exploratory ecological study investigated the global spatial autocorrelation of epidemiological aspects with feminicide rates from municipalities of the State of Sergipe – Brazil (n= 75), in the 2013-2017 period, using the “global” and “local” Moran statistic method and a multiple spatial regression, having as variables of exposure the socioeconomic status, the demographic status, the services and health status, feminicide rates. The software used was Stata 11.0, SPSS 18.0 and GeoDa 0.95-i. Results: The spatial distribution of the femicide rates was not random and showed high spatial autocorrelation and predominance of significant spatial groupings of municipalities with the highest mortality rates due to feminicide in the central region of Sergipe State. In the multiple regression, the percentage of women heads of families and the Municipal Human Development Index were positively associated with the rates of femicide in Sergipe's municipalities in the studied period (p <0.05). The opposite situation occurred between the GINI Index and the rates of femicide. Conclusions: This is the first study that analyze the factors associated with the spatial clusters of feminicide rates in a geographical space where there is a predominance of patriarchal culture. There was an increase in femicide in locations where there is lowest social inequality, greater human development and greater authority exercised by women in the family environment.
Copyright (c) 2020 Yamilla Ramos Carvalho de Sá , Paula Cristina Pedroso Moi, Noemi Dreyer Galvão , Ageo Mário Cândido da Silva , Gisele Pedroso Moi
This work is licensed under a Creative Commons Attribution 4.0 International License.