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Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)

dc.contributor.authorCabral, Leticia da S. [UNESP]
dc.contributor.authorSantos, Leonardo Bacelar L.
dc.contributor.authorMonteiro, Antonio Miguel Vieira
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionNational Center for Monitoring and Natural Disaster Alerts (CEMADEN)
dc.contributor.institutionNational Institute of Spatial Researches (INPE)
dc.date.accessioned2023-07-29T13:13:44Z
dc.date.available2023-07-29T13:13:44Z
dc.date.issued2022-01-01
dc.description.abstractIn 2019, a pandemic of the so-called new coronavirus (SARS-COV-II) began, which causes the disease COVID-19. In a short time after the first case appeared, hundreds of countries began to register new cases every day. Mapping and analyzing the flow of people, regardless of the mode of transport, can help us to understand and prevent several phenomena that can affect our society in different ways. Graphs are complex networks made up of points and edges. The (geo)graphs are graphs with known spatial location and, in the case of our study, the edges represent the flow between them. The (geo)graphs proved to be a promising tool for such analyses. In the study region, municipalities that first registered their COVID-19 cases are also municipalities that have the highest mobility indices analyzed: degree, betweenness and weight of edges.en
dc.description.affiliationInstitute of Science and Technology Paulista State University (UNESP), SP
dc.description.affiliationNational Center for Monitoring and Natural Disaster Alerts (CEMADEN), SP
dc.description.affiliationNational Institute of Spatial Researches (INPE), SP
dc.description.affiliationUnespInstitute of Science and Technology Paulista State University (UNESP), SP
dc.format.extent360-365
dc.identifier.citationProceedings of the Brazilian Symposium on GeoInformatics, p. 360-365.
dc.identifier.issn2179-4847
dc.identifier.scopus2-s2.0-85159081780
dc.identifier.urihttp://hdl.handle.net/11449/247352
dc.language.isoeng
dc.relation.ispartofProceedings of the Brazilian Symposium on GeoInformatics
dc.sourceScopus
dc.titleAnalysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)en
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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