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

Detalhes bibliográficos
Autor(a) principal: Cabral, Leticia da S. [UNESP]
Data de Publicação: 2022
Outros Autores: Santos, Leonardo Bacelar L., Monteiro, Antonio Miguel Vieira
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/247352
Resumo: In 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.
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spelling Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)In 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.Institute of Science and Technology Paulista State University (UNESP), SPNational Center for Monitoring and Natural Disaster Alerts (CEMADEN), SPNational Institute of Spatial Researches (INPE), SPInstitute of Science and Technology Paulista State University (UNESP), SPUniversidade Estadual Paulista (UNESP)National Center for Monitoring and Natural Disaster Alerts (CEMADEN)National Institute of Spatial Researches (INPE)Cabral, Leticia da S. [UNESP]Santos, Leonardo Bacelar L.Monteiro, Antonio Miguel Vieira2023-07-29T13:13:44Z2023-07-29T13:13:44Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject360-365Proceedings of the Brazilian Symposium on GeoInformatics, p. 360-365.2179-4847http://hdl.handle.net/11449/2473522-s2.0-85159081780Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the Brazilian Symposium on GeoInformaticsinfo:eu-repo/semantics/openAccess2023-07-29T13:13:45Zoai:repositorio.unesp.br:11449/247352Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:27:34.984463Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
title Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
spellingShingle Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
Cabral, Leticia da S. [UNESP]
title_short Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
title_full Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
title_fullStr Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
title_full_unstemmed Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
title_sort Analysis of mobility network metrics in the spread of COVID-19 in the Metropolitan Region of Vale do Paraíba and Litoral Norte (RMVPLN)
author Cabral, Leticia da S. [UNESP]
author_facet Cabral, Leticia da S. [UNESP]
Santos, Leonardo Bacelar L.
Monteiro, Antonio Miguel Vieira
author_role author
author2 Santos, Leonardo Bacelar L.
Monteiro, Antonio Miguel Vieira
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
National Center for Monitoring and Natural Disaster Alerts (CEMADEN)
National Institute of Spatial Researches (INPE)
dc.contributor.author.fl_str_mv Cabral, Leticia da S. [UNESP]
Santos, Leonardo Bacelar L.
Monteiro, Antonio Miguel Vieira
description In 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T13:13:44Z
2023-07-29T13:13:44Z
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dc.identifier.uri.fl_str_mv Proceedings of the Brazilian Symposium on GeoInformatics, p. 360-365.
2179-4847
http://hdl.handle.net/11449/247352
2-s2.0-85159081780
identifier_str_mv Proceedings of the Brazilian Symposium on GeoInformatics, p. 360-365.
2179-4847
2-s2.0-85159081780
url http://hdl.handle.net/11449/247352
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the Brazilian Symposium on GeoInformatics
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eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
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