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dc.contributor.authorMadeira, Lígia Moript_BR
dc.contributor.authorFurtado, Bernardo Alvespt_BR
dc.contributor.authorDill, Alan Rafaelpt_BR
dc.date.accessioned2021-11-29T04:28:45Zpt_BR
dc.date.issued2021pt_BR
dc.identifier.issn1460-7425pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/232318pt_BR
dc.description.abstractViolence against women occurs predominantly in the family and domestic context. The COVID-19 pandemic 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 coexistence 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 formalize 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 occurring 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) absence 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 neighborhoods 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 suggests 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 formalizing, 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.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofJournal of Artificial Societies and Social Simulation. [Guildford, United Kingdom]. Vol. 24, n. 4 (Oct. 2021), [15] p.pt_BR
dc.rightsOpen Accessen
dc.subjectDomestic violenceen
dc.subjectViolência domésticapt_BR
dc.subjectViolence against womenen
dc.subjectCOVID-19 (Doença)pt_BR
dc.subjectAgent-based models (ABMs)en
dc.subjectPandemiaspt_BR
dc.subjectViolência contra a mulherpt_BR
dc.subjectPandemicsen
dc.subjectSimulationen
dc.subjectSociologiapt_BR
dc.subjectMetropolitan regionsen
dc.titleVIDA : a simulation model of domestic violence in times of social distancingpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001134265pt_BR
dc.type.originEstrangeiropt_BR


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