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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorMarcílio-Jr, Wilson E. [UNESP]-
Autor(es): dc.creatorEler, Danilo M. [UNESP]-
Autor(es): dc.creatorGarcia, Rogério E. [UNESP]-
Autor(es): dc.creatorCorreia, Ronaldo C.M. [UNESP]-
Autor(es): dc.creatorRodrigues, Rafael M.B. [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:46:18Z-
Data de disponibilização: dc.date.available2022-02-22T00:46:18Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-05-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.jbi.2021.103753-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206154-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206154-
Descrição: dc.descriptionVisual 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.-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science São Paulo State University (UNESP)-
Idioma: dc.languageen-
Relação: dc.relationJournal of Biomedical Informatics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCOVID-19-
Palavras-chave: dc.subjectRisk assessment-
Palavras-chave: dc.subjectVisual analytics-
Título: dc.titleVisual analytics of COVID-19 dissemination in São Paulo state, Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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