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Towards a Situated Spatial Epidemiology of Violence: A Placially-Informed Geospatial Analysis of Homicide in Alagoas Brazil

机译:朝着暴力的一个位于空间流行病学:巴西阿拉加斯的杀人杀人地局部空间分析

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摘要

This paper presents an empirically grounded call for a more nuanced engagement and situatedness with placial characteristics within a spatial epidemiology frame. By using qualitative data collected through interviews and observation to parameterise standard and spatial regression models, and through a critical interpretation of their results, we present initial inroads for a situated spatial epidemiology and an analytical framework for health/medical geographers to iteratively engage with data, modelling, and the context of both the subject and process of analysis. In this study, we explore the socioeconomic factors that influence homicide rates in the Brazilian state of Alagoas from a critical public health perspective. Informed by field observation and interviews with 24 youths in low-income neighbourhoods and prisons in Alagoas, we derive and critically reflect on three regression models to predict municipal homicide rates from 2016–2020. The model results indicate significant effects for the male population, persons without elementary school completion, households with reported income, divorced persons, households without piped water, and persons working outside their home municipality. These results are situated in the broader socioeconomic context, trajectories, and cycles of inequality in the study area and underscore the need for integrative and contextually engaged mixed method study design in spatial epidemiology.
机译:本文呈现了一个经验接地的呼叫,可在空间流行病学框架内具有更细致的倾向和位于临床特征。通过采用通过面试和观察收集的定性数据和参数化标准和空间回归模型,并通过对其结果的关键解释,我们为位于空间流行病学和健康/医学地理学商的分析框架展示了初始进展,以迭代地与数据互动建模,以及分析的主题和过程的背景。在这项研究中,我们探讨了影响巴西阿拉冈州巴西州的凶杀率的社会经济因素。通过现场观察和24个年轻人在Alagoas的低收入社区和监狱的访谈中获知,我们派生并彻底反映了三种回归模型,以预测2016 - 2012年的市政杀人率。模型结果表明对男性人口的显着影响,没有小学完成,报告收入的家庭,离婚人员,没有管道水的家庭,以及在家庭市外工作的人。这些结果位于更广泛的社会经济背景下,轨迹以及研究区不平等的循环,并强调了在空间流行病学中对综合和上下文接合的混合方法研究设计的需求。

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