Visual analytics of COVID-19 dissemination in São Paulo state, Brazil

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dc.contributor.authorMarcílio-Jr, Wilson E. [UNESP]
dc.contributor.authorEler, Danilo M. [UNESP]
dc.contributor.authorGarcia, Rogério E. [UNESP]
dc.contributor.authorCorreia, Ronaldo C.M. [UNESP]
dc.contributor.authorRodrigues, Rafael M.B. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T10:27:27Z
dc.date.available2021-06-25T10:27:27Z
dc.date.issued2021-05-01
dc.description.abstractVisual analytics techniques are useful tools to support decision-making and cope with increasing data, particularly to monitor natural or artificial phenomena. When monitoring disease progression, visual analytics approaches help decision-makers to understand or even prevent dissemination paths. In this paper, we propose a new visual analytics tool for monitoring COVID-19 dissemination. We use k-nearest neighbors of cities to mimic neighboring cities and analyze COVID-19 dissemination based on comparing a city under consideration and its neighborhood. Moreover, such analysis is performed within periods, which facilitates the assessment of isolation policies. We validate our tool by analyzing the progression of COVID-19 in neighboring cities of São Paulo state, Brazil.en
dc.description.affiliationDepartment of Mathematics and Computer Science São Paulo State University (UNESP)
dc.description.affiliationUnespDepartment of Mathematics and Computer Science São Paulo State University (UNESP)
dc.identifierhttp://dx.doi.org/10.1016/j.jbi.2021.103753
dc.identifier.citationJournal of Biomedical Informatics, v. 117.
dc.identifier.doi10.1016/j.jbi.2021.103753
dc.identifier.issn1532-0464
dc.identifier.scopus2-s2.0-85103695064
dc.identifier.urihttp://hdl.handle.net/11449/206154
dc.language.isoeng
dc.relation.ispartofJournal of Biomedical Informatics
dc.sourceScopus
dc.subjectCOVID-19
dc.subjectRisk assessment
dc.subjectVisual analytics
dc.titleVisual analytics of COVID-19 dissemination in São Paulo state, Brazilen
dc.typeArtigo

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