Mestrado Profissional Pesquisa Em Saúde, Centro Universitário Cesmac, Maceió, Alagoas, Brazil.
Institute for Geography, FAU Erlangen-Nürnberg, Erlangen, Germany.
Glob Health Action. 2021 Jan 1;14(1):1952752. doi: 10.1080/16549716.2021.1952752.
Homicide presents a significant health burden globally, but geographical differences in homicide rates necessitate focussed analyses of spatial and temporal patterns, particularly in affected areas. The highest rates are concentrated in regions in Central and South America, but analyses of sub-regional patterns and sex-specific differences may yield important information for addressing the upstream causes of homicide at the community level.
This study examines and presents spatial and temporal patterns of homicide victims from 2006 to 2015 in the state of Alagoas, Brazil, focussing on the municipality scale and differentiated by victims' sex.
Data comprising victims' age, sex, the date, time, and the municipality of the homicide incident were acquired from the Brazilian National Mortality Information System. These data were aggregated by municipality, and we made quantitative comparisons of sex-specific homicide rates between the capital city of Macieó metropolitan region and the peripheral, predominantly rural regions. Empirical Local Bayes methods were used to adjust per-capita homicide risk estimates and map the results.
A total of 19,560 homicides occurred during the study period, with an average of 60.4 per 100,000 inhabitants; the metropolitan region rate was 81.8, compared to 46.5 for the remaining regions. The male homicide rate was 115.9 per 100,000, compared to 7.1 for females. Empirical Local Bayes mapping showed strong clustering of male homicide risk in specific cities near the capital, while female risk was more dispersed throughout the region.
The risk of male victim homicide observed for the metropolitan region of Alagoas was amongst the highest globally, particularly during the period 2012-2014. Geographical differences in male and female risk may indicate differences in risk factors and highlight a need for prevention programmes that take into account gender-specific pathways of violence.
全球范围内,凶杀案对健康造成了重大负担,但由于各地凶杀率存在差异,需要对其时空模式进行重点分析,尤其是在受影响地区。最高的凶杀率集中在中美洲和南美洲的一些地区,但对次区域模式和性别特异性差异的分析可能会为在社区层面解决凶杀案的上游原因提供重要信息。
本研究检查并呈现了 2006 年至 2015 年巴西阿拉戈斯州凶杀案受害者的时空模式,重点关注市级规模,并按受害者性别进行区分。
从巴西国家死亡率信息系统中获取了包含受害者年龄、性别、凶杀案发生日期、时间和地点的信息。这些数据按市进行汇总,并对首都马塞约大都市区和周边主要农村地区的性别特异性凶杀率进行了定量比较。采用经验局部贝叶斯方法调整了每千人凶杀风险估计值,并绘制了结果地图。
在研究期间共发生了 19560 起凶杀案,平均每 10 万人中有 60.4 起;大都市区的凶杀率为 81.8,而其余地区为 46.5。男性凶杀率为每 10 万人 115.9,而女性为 7.1。经验局部贝叶斯制图显示,首都附近特定城市的男性凶杀风险存在强烈的聚类现象,而女性风险则在整个地区更为分散。
阿拉戈斯大都市区观察到的男性受害者凶杀风险处于全球最高之列,尤其是在 2012 年至 2014 年期间。男性和女性风险的地理差异可能表明风险因素存在差异,并强调需要制定考虑到性别特异性暴力途径的预防计划。