VIDA:社会距离时代家庭暴力的模拟模型

L. Madeira, Bernardo Alves Furtado, Alan Rafael Dill
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引用次数: 2

摘要

对妇女的暴力行为主要发生在家庭和家庭环境中。2019冠状病毒病大流行导致巴西建议(有时甚至强制)保持社会距离,部分关闭经济活动和学校,并限制活动和公共服务。初步证据表明,密集的共存加剧了家庭暴力,而保持社会距离的措施可能阻碍了获得公共服务和网络、信息和帮助。我们提出了一种基于主体的模型(ABM),称为VIDA,用于分析和说明影响可能引发暴力的事件的众多因素。该模型的核心部分是构建一个压力指标,作为家庭环境中发生家庭暴力的概率触发因素。有了一个正式的模型,可以复制基于内部家庭特征的观察到的暴力模式,使我们能够尝试改变动态。我们首先测试了(a)是否存在针对妇女的家庭暴力的威慑系统,然后(b)是否存在增加社会距离的措施。VIDA给出了在实验中考虑的大都市地区和社区的比较结果。结果表明,保持社会距离的措施,特别是那些鼓励呆在家里的措施,可能使针对妇女的家庭暴力增加了约10%。VIDA进一步表明,与人口较少的首都或城市集中的农村地区相比,人口较多的地区每10万妇女的病例相对较少。据我们所知,本文通过基于主体的建模,利用城市内(人口普查部门)和家庭层面的经验详细的社会经济、人口、教育、性别和种族数据,建立了第一个家庭暴力模型,从而为文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VIDA: A simulation model of domestic VIolence in times of social DistAncing
Violence against women occurs predominantly in the family and domestic context. The COVID-19 pan-demic has led Brazil to recommend and at times, impose social distancing, with the partial closure of economic activities, schools, and restrictions on events and public services. Preliminary evidence shows that intense co-existence increases domestic violence, while social distancing measures may have prevented access to public services and networks, information, and help. We propose an agent-based model (ABM), called VIDA, to for-malize and illustrate a multitude of factors that influence events which could trigger violence. A central part of the model is the construction of a stress indicator, created as a probability trigger of domestic violence occur-ring within the family environment. Having a formal model that replicates observed patterns of violence based on internal familial characteristics enables us to experiment with altering dynamics. We first tested the (a) ab-sence or presence of the deterrence system of domestic violence against women and then (b) the existence of measures to increase social distancing. VIDA presents comparative results for metropolitan regions and neigh-borhoods considered in the experiments. Results suggest that social distancing measures, particularly those encouraging staying at home, may have increased domestic violence against women by about 10%. VIDA sug-gests further that more populated areas have comparatively fewer cases per hundred thousand women than less populous capitals or rural areas of urban concentrations. This paper contributes to the literature by formal-izing, to the best of our knowledge, the first model of domestic violence through agent-based modeling, using empirical detailed socioeconomic, demographic, educational, gender, and race data at the intraurban (census sectors) and household level.
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