Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/60974 |
Resumo: | International joint laboratories of Institute de Recherche pour le Développement, a partnership between the University of Brasília and the Oswaldo Cruz Foundation (LMI-Sentinela - UnB - Fiocruz - IRD) |
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Xavier, Diego RicardoSilva, Eliane Lima eLara, Flávio AlvesSilva, Gabriel Rodrigues Rocha eOliveira, Marcus Fernandes deGurgel, Helen da CostaBarcellos, Christovam2023-10-27T16:02:29Z2023-10-27T16:02:29Z2022XAVIER, Diego Ricardo et al. Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study. The Lancet Regional Health–Americas, v. 10, p. 1-16, June 2022.2667-193Xhttps://www.arca.fiocruz.br/handle/icict/6097410.1016/j.lana.2022.100221International joint laboratories of Institute de Recherche pour le Développement, a partnership between the University of Brasília and the Oswaldo Cruz Foundation (LMI-Sentinela - UnB - Fiocruz - IRD)Coordination for the Improvement of Higher Education Personnel (CAPES)National Council for Scientific and Technological Development (CNPq)Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil / Universidade de Brasília. Laboratório Misto Internacional (LMI Sentinela). Brasília, DF, Brasil.Universidade de Brasília. Laboratório Misto Internacional (LMI Sentinela). Brasília, DF, Brasil / Brasília University. Geography Department. Environment and Health. Laboratory of Geography. Brasília, DF, Brazil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Microbiologia Celular. Rio de Janeiro, RJ, Brasil.Universidade de Brasília. Laboratório Misto Internacional (LMI Sentinela). Brasília, DF, Brasil / Brasília University. Geography Department. Environment and Health. Laboratory of Geography. Brasília, DF, Brazil.Universidade Federal do Rio de Janeiro. Centro de Ciências da Saúde. Instituto de Bioquímica Médica Leopoldo de Meis. Rio de Janeiro, RJ, Brasil.Universidade de Brasília. Laboratório Misto Internacional (LMI Sentinela). Brasília, DF, Brasil / Brasília University. Geography Department. Environment and Health. Laboratory of Geography. Brasília, DF, Brazil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil / Universidade de Brasília. Laboratório Misto Internacional (LMI Sentinela). Brasília, DF, Brasil.Background: Brazil has been severely impacted by COVID-19 pandemics that is aggravated by the absence of a scientifically-driven coordinated informative campaign and the interference in public health management, which ultimately affected health measures to avoid SARS-CoV2 spread. The decentralization and resultant conflicts in disease control activities produced different protection behaviours and local government measures. In the present study, we investigated how political partisanship and socio-economic factors determined the outcome of COVID-19 at the local level in Brazil. Methods: A retrospective study of COVID-19 deaths was carried out using mortality databases between Feb 2020, and Jun 2021 for the 5570 Brazilian municipalities. Socio-economic parameters including city categories, income and inequality indexes, health service quality and partisanship, assessed by the result of the second round of the 2018 Brazilian presidential elections, were included. Regression tree analysis was carried out to identify the statistical significance and conditioning relationships of variables. Findings: Municipalities that supported then-candidate Jair Bolsonaro in the 2018 elections were those that had the worst COVID-19 mortality rates, mainly during the second epidemic wave of 2021. This pattern was observed even considering structural inequalities among cities. Interpretation: In general, the first phase of the pandemic hit large and central cities hardest, while the second wave mostly impacted Bolsonarian municipalities, where scientific denialism among the population was stronger. Negative effects of partisanship towards the right-wing on COVID-19 outcomes counterbalances favourable socioeconomic indexes in affluent Brazilian cities. Our results underscore the fragility of public health policies which were undermined by the scientific denialism of right-wing supporters in Brazil.engElsevierInvolvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based studyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCOVID-19PandemicPoliticsSocial inequalitiesData miningBrazilinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/60974/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALartigo.pdfartigo.pdfArtigoapplication/pdf3076640https://www.arca.fiocruz.br/bitstream/icict/60974/2/artigo.pdf9bcfa3f012e95787c1f0abbbb2f58ba7MD52icict/609742023-11-07 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dc.title.en_US.fl_str_mv |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
title |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
spellingShingle |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study Xavier, Diego Ricardo COVID-19 Pandemic Politics Social inequalities Data mining Brazil |
title_short |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
title_full |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
title_fullStr |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
title_full_unstemmed |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
title_sort |
Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study |
author |
Xavier, Diego Ricardo |
author_facet |
Xavier, Diego Ricardo Silva, Eliane Lima e Lara, Flávio Alves Silva, Gabriel Rodrigues Rocha e Oliveira, Marcus Fernandes de Gurgel, Helen da Costa Barcellos, Christovam |
author_role |
author |
author2 |
Silva, Eliane Lima e Lara, Flávio Alves Silva, Gabriel Rodrigues Rocha e Oliveira, Marcus Fernandes de Gurgel, Helen da Costa Barcellos, Christovam |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Xavier, Diego Ricardo Silva, Eliane Lima e Lara, Flávio Alves Silva, Gabriel Rodrigues Rocha e Oliveira, Marcus Fernandes de Gurgel, Helen da Costa Barcellos, Christovam |
dc.subject.en.en_US.fl_str_mv |
COVID-19 Pandemic Politics Social inequalities Data mining Brazil |
topic |
COVID-19 Pandemic Politics Social inequalities Data mining Brazil |
description |
International joint laboratories of Institute de Recherche pour le Développement, a partnership between the University of Brasília and the Oswaldo Cruz Foundation (LMI-Sentinela - UnB - Fiocruz - IRD) |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-10-27T16:02:29Z |
dc.date.available.fl_str_mv |
2023-10-27T16:02:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
XAVIER, Diego Ricardo et al. Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study. The Lancet Regional Health–Americas, v. 10, p. 1-16, June 2022. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/60974 |
dc.identifier.issn.none.fl_str_mv |
2667-193X |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.lana.2022.100221 |
identifier_str_mv |
XAVIER, Diego Ricardo et al. Involvement of political and socio-economic factors in the spatial and temporal dynamics of COVID-19 outcomes in Brazil: a population-based study. The Lancet Regional Health–Americas, v. 10, p. 1-16, June 2022. 2667-193X 10.1016/j.lana.2022.100221 |
url |
https://www.arca.fiocruz.br/handle/icict/60974 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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reponame:Repositório Institucional da FIOCRUZ (ARCA) instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
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