The use of health geography modeling to understand early dispersion of COVID-19 in São Paulo, Brazil

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Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorFederal University of Espírito Santo-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.creatorBranco Fortaleza, Carlos Magno Castelo [UNESP]-
Autor(es): dc.creatorGuimarães, Raul Borges [UNESP]-
Autor(es): dc.creatorde Castro Catão, Rafael-
Autor(es): dc.creatorFerreira, Cláudia Pio [UNESP]-
Autor(es): dc.creatorde Almeida, Gabriel Berg [UNESP]-
Autor(es): dc.creatorVilches, Thomas Nogueira-
Autor(es): dc.creatorPugliesi, Edmur [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:53:05Z-
Data de disponibilização: dc.date.available2022-02-22T00:53:05Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0245051-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/208320-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/208320-
Descrição: dc.descriptionPublic health policies to contain the spread of COVID-19 rely mainly on non-pharmacological measures. Those measures, especially social distancing, are a challenge for developing countries, such as Brazil. In São Paulo, the most populous state in Brazil (45 million inhabitants), most COVID-19 cases up to April 18th were reported in the Capital and metropolitan area. However, the inner municipalities, where 20 million people live, are also at risk. As governmental authorities discuss the loosening of measures for restricting population mobility, it is urgent to analyze the routes of dispersion of COVID-19 in São Paulo territory. We hypothesize that urban hierarchy is the main responsible for the disease spreading, and we identify the hotspots and the main routes of virus movement from the metropolis to the inner state. In this ecological study, we use geographic models of population mobility to check for patterns for the spread of SARS-CoV-2 infection. We identify two patterns based on surveillance data: one by contiguous diffusion from the capital metropolitan area, and the other hierarchical with long-distance spread through major highways that connects São Paulo city with cities of regional relevance. This knowledge can provide real-time responses to support public health strategies, optimizing the use of resources in order to minimize disease impact on population and economy.-
Descrição: dc.descriptionDepartment of Infectious Diseases Botucatu Medical School São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Geography Faculty of Science and Technology São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Geography Federal University of Espírito Santo-
Descrição: dc.descriptionInstitute of Biosciences São Paulo State University (UNESP)-
Descrição: dc.descriptionInstitute of Mathematics Statistics and Scientific Computation University of Campinas (UNICAMP)-
Descrição: dc.descriptionDepartment of Infectious Diseases Botucatu Medical School São Paulo State University (UNESP)-
Descrição: dc.descriptionDepartment of Geography Faculty of Science and Technology São Paulo State University (UNESP)-
Descrição: dc.descriptionInstitute of Biosciences São Paulo State University (UNESP)-
Idioma: dc.languageen-
Relação: dc.relationPLoS ONE-
???dc.source???: dc.sourceScopus-
Título: dc.titleThe use of health geography modeling to understand early dispersion of COVID-19 in São Paulo, Brazil-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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