Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil

Detalhes bibliográficos
Autor(a) principal: Albuquerque, Miguel da Guia
Data de Publicação: 2021
Outros Autores: Santos, Jefferson Rodrigues dos, Silveira, Angelita Fialho, Bornia Junior, Dardo Lorenzo, Nunes, Rozele Borges, Gandra, Tiago Borges Ribeiro, Silva, André Luis Corrêa da, Miranda, Gustavo Borba de, Trevisol, Alessandra Ruiz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Sociedade & natureza (Online)
Texto Completo: https://seer.ufu.br/index.php/sociedadenatureza/article/view/59688
Resumo: This work aims to provide an overview of the territorial evolution of COVID-19 (SARS-CoV-2) in Brazil using socio-demographic variables, for the time span between February 26, 2020 until January 24, 2021. Socio-demographic indicators, basic sanitation infrastructure data, and epidemiological bulletins were integrated using Principal Components Analysis (PCA) to develop a social vulnerability index (SVI), to estimate the degree of exposure risk of the Brazilian population to COVID-19. The results indicate that the majority of confirmed cases were reported from the main Brazilian capitals, linked to well-developed port and airport modes. In terms of deaths, the states of São Paulo, Rio de Janeiro, Ceará and Pernambuco were at the top of the ranking. On the contrary, there were some states of the mid-west (Mato Grosso do Sul) and the north (Acre, Amapá, Roraima, Rondônia and Tocantins), that recorded low mortality indexes. The SVI reveals that the states of the north and north-east are the most vulnerable. Regarding the metropolitan areas, it was observed that the main capitals of the north and north-east, with the exception of Salvador, present significantly more critical numbers in terms of dissemination and deaths by COVID-19 than the capitals of the south-southeast, where the SVI is lower. The comparative exception was Santa Catarina state metropolitan areas. Finally, as the virus does not strike everyone in the same way, one of the great challenges is to search for solutions to cope with COVID-19 in the face of very unequal realities. Thus, a reflection on the strategies adopted by the Brazilian government is relevant, while considering the continental dimensions and the diversity of the Brazilian regions, to obtain a better analysis of the more vulnerable populations and social groups.
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spelling Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in BrazilCoronavirusSars CoV-2Pandemic in BrazilSocial vulnerability This work aims to provide an overview of the territorial evolution of COVID-19 (SARS-CoV-2) in Brazil using socio-demographic variables, for the time span between February 26, 2020 until January 24, 2021. Socio-demographic indicators, basic sanitation infrastructure data, and epidemiological bulletins were integrated using Principal Components Analysis (PCA) to develop a social vulnerability index (SVI), to estimate the degree of exposure risk of the Brazilian population to COVID-19. The results indicate that the majority of confirmed cases were reported from the main Brazilian capitals, linked to well-developed port and airport modes. In terms of deaths, the states of São Paulo, Rio de Janeiro, Ceará and Pernambuco were at the top of the ranking. On the contrary, there were some states of the mid-west (Mato Grosso do Sul) and the north (Acre, Amapá, Roraima, Rondônia and Tocantins), that recorded low mortality indexes. The SVI reveals that the states of the north and north-east are the most vulnerable. Regarding the metropolitan areas, it was observed that the main capitals of the north and north-east, with the exception of Salvador, present significantly more critical numbers in terms of dissemination and deaths by COVID-19 than the capitals of the south-southeast, where the SVI is lower. The comparative exception was Santa Catarina state metropolitan areas. Finally, as the virus does not strike everyone in the same way, one of the great challenges is to search for solutions to cope with COVID-19 in the face of very unequal realities. Thus, a reflection on the strategies adopted by the Brazilian government is relevant, while considering the continental dimensions and the diversity of the Brazilian regions, to obtain a better analysis of the more vulnerable populations and social groups. Universidade Federal de Uberlândia2021-04-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/5968810.14393/SN-v33-2021-59688Sociedade & Natureza; Vol. 33 (2021)Sociedade & Natureza; v. 33 (2021)1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/59688/31378Copyright (c) 2021 Miguel da Guia Albuquerque, Jefferson Rodrigues dos Santos, Angelita Fialho Silveira, Dardo Lorenzo Bornia Junior, Rozele Borges Nunes, Tiago Borges Ribeiro Gandra, André Luis Corrêa da Silva, Gustavo Borba de Miranda, Alessandra Ruiz Trevisolinfo:eu-repo/semantics/openAccessAlbuquerque, Miguel da GuiaSantos, Jefferson Rodrigues dosSilveira, Angelita Fialho Bornia Junior, Dardo Lorenzo Nunes, Rozele Borges Gandra, Tiago Borges Ribeiro Silva, André Luis Corrêa da Miranda, Gustavo Borba deTrevisol, Alessandra Ruiz 2021-07-28T18:28:11Zoai:ojs.www.seer.ufu.br:article/59688Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-07-28T18:28:11Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
title Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
spellingShingle Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
Albuquerque, Miguel da Guia
Coronavirus
Sars CoV-2
Pandemic in Brazil
Social vulnerability
title_short Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
title_full Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
title_fullStr Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
title_full_unstemmed Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
title_sort Influence of socio-economic indicators and territorial networks at the spatiotemporal spread dynamics of Covid-19 in Brazil
author Albuquerque, Miguel da Guia
author_facet Albuquerque, Miguel da Guia
Santos, Jefferson Rodrigues dos
Silveira, Angelita Fialho
Bornia Junior, Dardo Lorenzo
Nunes, Rozele Borges
Gandra, Tiago Borges Ribeiro
Silva, André Luis Corrêa da
Miranda, Gustavo Borba de
Trevisol, Alessandra Ruiz
author_role author
author2 Santos, Jefferson Rodrigues dos
Silveira, Angelita Fialho
Bornia Junior, Dardo Lorenzo
Nunes, Rozele Borges
Gandra, Tiago Borges Ribeiro
Silva, André Luis Corrêa da
Miranda, Gustavo Borba de
Trevisol, Alessandra Ruiz
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Albuquerque, Miguel da Guia
Santos, Jefferson Rodrigues dos
Silveira, Angelita Fialho
Bornia Junior, Dardo Lorenzo
Nunes, Rozele Borges
Gandra, Tiago Borges Ribeiro
Silva, André Luis Corrêa da
Miranda, Gustavo Borba de
Trevisol, Alessandra Ruiz
dc.subject.por.fl_str_mv Coronavirus
Sars CoV-2
Pandemic in Brazil
Social vulnerability
topic Coronavirus
Sars CoV-2
Pandemic in Brazil
Social vulnerability
description This work aims to provide an overview of the territorial evolution of COVID-19 (SARS-CoV-2) in Brazil using socio-demographic variables, for the time span between February 26, 2020 until January 24, 2021. Socio-demographic indicators, basic sanitation infrastructure data, and epidemiological bulletins were integrated using Principal Components Analysis (PCA) to develop a social vulnerability index (SVI), to estimate the degree of exposure risk of the Brazilian population to COVID-19. The results indicate that the majority of confirmed cases were reported from the main Brazilian capitals, linked to well-developed port and airport modes. In terms of deaths, the states of São Paulo, Rio de Janeiro, Ceará and Pernambuco were at the top of the ranking. On the contrary, there were some states of the mid-west (Mato Grosso do Sul) and the north (Acre, Amapá, Roraima, Rondônia and Tocantins), that recorded low mortality indexes. The SVI reveals that the states of the north and north-east are the most vulnerable. Regarding the metropolitan areas, it was observed that the main capitals of the north and north-east, with the exception of Salvador, present significantly more critical numbers in terms of dissemination and deaths by COVID-19 than the capitals of the south-southeast, where the SVI is lower. The comparative exception was Santa Catarina state metropolitan areas. Finally, as the virus does not strike everyone in the same way, one of the great challenges is to search for solutions to cope with COVID-19 in the face of very unequal realities. Thus, a reflection on the strategies adopted by the Brazilian government is relevant, while considering the continental dimensions and the diversity of the Brazilian regions, to obtain a better analysis of the more vulnerable populations and social groups.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/59688
10.14393/SN-v33-2021-59688
url https://seer.ufu.br/index.php/sociedadenatureza/article/view/59688
identifier_str_mv 10.14393/SN-v33-2021-59688
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/59688/31378
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Sociedade & Natureza; Vol. 33 (2021)
Sociedade & Natureza; v. 33 (2021)
1982-4513
0103-1570
reponame:Sociedade & natureza (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Sociedade & natureza (Online)
collection Sociedade & natureza (Online)
repository.name.fl_str_mv Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br
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