Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.onehlt.2022.100375 http://hdl.handle.net/11449/223622 |
Resumo: | 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. |
id |
UNSP_35c3ed925a1d62e834d9d16142bfcd03 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/223622 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical BrazilBrazilian tropical zoneClimateCOVID-19DemographicEconomicSARS-CoV-2Objective: 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.Program of Computational Modelling Federal University of Tocantins, TOUnesp Faculdade de Ciências AgronômicasResearch and Development Center for Public Sector Excellence and Transformation (NExT) of the Department of Administration University of BrasiliaUnesp Faculdade de Ciências AgronômicasFederal University of TocantinsUniversidade Estadual Paulista (UNESP)University of BrasiliaPrata, DavidRodrigues, WaldecyQueiroz Trevisan, Daniela Mascarenhas deCamargo, WainestenFrizzera, HumbertoCarvalho, RafaelBarbosa, GentilAlvares, Clayton [UNESP]Moreira, Marina F.De Souza Bermejo, Paulo H.2022-04-28T19:51:50Z2022-04-28T19:51:50Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.onehlt.2022.100375One Health, v. 14.2352-7714http://hdl.handle.net/11449/22362210.1016/j.onehlt.2022.1003752-s2.0-85126149528Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengOne Healthinfo:eu-repo/semantics/openAccess2022-04-28T19:51:50Zoai:repositorio.unesp.br:11449/223622Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:22:20.902688Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
title |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
spellingShingle |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil Prata, David Brazilian tropical zone Climate COVID-19 Demographic Economic SARS-CoV-2 |
title_short |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
title_full |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
title_fullStr |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
title_full_unstemmed |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
title_sort |
Climatic factors associated with economic determinants significantly affect the spread of COVID-19 in tropical Brazil |
author |
Prata, David |
author_facet |
Prata, David Rodrigues, Waldecy Queiroz Trevisan, Daniela Mascarenhas de Camargo, Wainesten Frizzera, Humberto Carvalho, Rafael Barbosa, Gentil Alvares, Clayton [UNESP] Moreira, Marina F. De Souza Bermejo, Paulo H. |
author_role |
author |
author2 |
Rodrigues, Waldecy Queiroz Trevisan, Daniela Mascarenhas de Camargo, Wainesten Frizzera, Humberto Carvalho, Rafael Barbosa, Gentil Alvares, Clayton [UNESP] Moreira, Marina F. De Souza Bermejo, Paulo H. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Federal University of Tocantins Universidade Estadual Paulista (UNESP) University of Brasilia |
dc.contributor.author.fl_str_mv |
Prata, David Rodrigues, Waldecy Queiroz Trevisan, Daniela Mascarenhas de Camargo, Wainesten Frizzera, Humberto Carvalho, Rafael Barbosa, Gentil Alvares, Clayton [UNESP] Moreira, Marina F. De Souza Bermejo, Paulo H. |
dc.subject.por.fl_str_mv |
Brazilian tropical zone Climate COVID-19 Demographic Economic SARS-CoV-2 |
topic |
Brazilian tropical zone Climate COVID-19 Demographic Economic SARS-CoV-2 |
description |
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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:51:50Z 2022-04-28T19:51:50Z 2022-06-01 |
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.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.onehlt.2022.100375 One Health, v. 14. 2352-7714 http://hdl.handle.net/11449/223622 10.1016/j.onehlt.2022.100375 2-s2.0-85126149528 |
url |
http://dx.doi.org/10.1016/j.onehlt.2022.100375 http://hdl.handle.net/11449/223622 |
identifier_str_mv |
One Health, v. 14. 2352-7714 10.1016/j.onehlt.2022.100375 2-s2.0-85126149528 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
One Health |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128799049515008 |