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Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil.
Prata, David; Rodrigues, Waldecy; Queiroz Trevisan, Daniela Mascarenhas de; Camargo, Wainesten; Frizzera, Humberto; Carvalho, Rafael; Barbosa, Gentil; Alvares, Clayton; Moreira, Marina F; De Souza Bermejo, Paulo H.
Afiliação
  • Prata D; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Rodrigues W; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Queiroz Trevisan DM; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Camargo W; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Frizzera H; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Carvalho R; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Barbosa G; Program of Computational Modelling, Federal University of Tocantins, Palmas, TO, Brazil.
  • Alvares C; Unesp, Faculdade de Ciências Agronômicas, Botucatu 18610-034, Brazil.
  • Moreira MF; Research and Development Center for Public Sector Excellence and Transformation (NExT) of the Department of Administration, University of Brasilia, Brazil.
  • De Souza Bermejo PH; Research and Development Center for Public Sector Excellence and Transformation (NExT) of the Department of Administration, University of Brasilia, Brazil.
One Health ; 14: 100375, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35224172
OBJECTIVE: This study investigates the spatial differences in the occurrence of COVID-19 in Brazilian Tropical Zone and its relationship with climatic, demographic, and economic factors based on data from February 2020 to May 2021. METHODS: A Linear Regression Model with the GDP per capita, demographic density and climatic factors from 5.534 Brazilian cities with (sub)tropical climate was designed and used to explain the spread of COVID-19 in Brazil. MAIN RESULTS: The model shows evidence that economic, demographic and climate factors maintain a relationship with the variation in the number of cases of COVID-19. The Köppen climate classification defines climatic regions by rainfall and temperature. Some studies have shown an association between temperature and humidity and the survival of SARS-CoV-2. In this cohort study, Brazilian cities located in tropical regions without a dry season (monthly rainfall > 60 mm) showed a greater prevalence than in cities located in tropical regions with a dry season (some monthly rainfall < 60 mm). CONCLUSION: Empirical evidence shows that the Brazil's tropical-climate cities differ in the number (contamination rate) of COVID-19 cases, mainly because of humidity. This study aims to alert the research community and public policy-makers to the trade-off between temperature and humidity for the stability of SARS-COV-2, and the implications for the spread of the virus in tropical climate zones.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude País/Região como assunto: America do sul / Brasil Idioma: En Revista: One Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude País/Região como assunto: America do sul / Brasil Idioma: En Revista: One Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda