Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Economia e Sociedade |
Texto Completo: | https://periodicos.sbu.unicamp.br/ojs/index.php/ecos/article/view/8671786 |
Resumo: | In order to understand the reasons that led certain locations to face more/less difficulties in dealing with COVID-19, the effect of some municipal characteristics, on the main statistics related to the disease, was estimated. For this purpose, cross-section data (with cases/deaths accumulated up until April 21, 2021), on the municipalities of Minas Gerais were considered, and Ordinary Least Squares, Poisson and Negative Binomial estimators were used, in addition to the Extreme Bounds Analysis technique. Small towns, with a larger number of public health clinics (known in Brazil as “basic health units”) and more young people would have fewer cases/deaths. Urban, hot, polluted locations with higher inequality, as well as greater economic activity and movement of employees, presented the greatest problems. Incidence/mortality would increase in hot cities, with greater economic activity and a history of comorbidity. However, mortality would decrease among the youngest/most educated people. Furthermore, lethality would be lower among the younger population and in sparsely populated (up to 150,000 inhabitants) and rainless cities. |
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Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas GeraisCaracterísticas locais e a pandemia de covid-19: uma análise voltada aos municípios do estado brasileiro de Minas GeraisLocal characteristics and the Covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas GeraisCovid-19Políticas RegionaisDeterminantes socioeconômicosCovid-19Políticas regionaisDeterminantes socioeconômicosCovid-19Regional policiesSocioeconomic determinantsIn order to understand the reasons that led certain locations to face more/less difficulties in dealing with COVID-19, the effect of some municipal characteristics, on the main statistics related to the disease, was estimated. For this purpose, cross-section data (with cases/deaths accumulated up until April 21, 2021), on the municipalities of Minas Gerais were considered, and Ordinary Least Squares, Poisson and Negative Binomial estimators were used, in addition to the Extreme Bounds Analysis technique. Small towns, with a larger number of public health clinics (known in Brazil as “basic health units”) and more young people would have fewer cases/deaths. Urban, hot, polluted locations with higher inequality, as well as greater economic activity and movement of employees, presented the greatest problems. Incidence/mortality would increase in hot cities, with greater economic activity and a history of comorbidity. However, mortality would decrease among the youngest/most educated people. Furthermore, lethality would be lower among the younger population and in sparsely populated (up to 150,000 inhabitants) and rainless cities.Visando compreender os motivos que levaram certas localidades a enfrentar mais/menos dificuldades no combate à COVID-19, estimou-se o efeito de determinadas características municipais sobre as principais estatísticas desta doença. Para tanto, consideraram-se dados cross-section (com casos/óbitos acumulados até 21 de abril/2021), sobre os municípios de Minas Gerais, e usaram-se os estimadores de Mínimos Quadrados Ordinários, Poisson e Binominal Negativo, além da técnica Extreme Bounds Analysis. Verificou-se que cidades pequenas, com mais unidades básicas de saúde e populações mais jovens, teriam menos casos/óbitos. Alternativamente, locais quentes, poluídos, tipicamente urbanos, desiguais, com maior atividade econômica e circulação de empregados, seriam mais problemáticos. A incidência e mortalidade aumentariam em municípios quentes, com maior atividade econômica e histórico de comorbidades. Todavia, a mortalidade diminuiria entre os mais educados e jovens. Ademais, a letalidade seria menor entre os jovens e em cidades com até 150 mil habitantes e poucas chuvas.Visando compreender os motivos que levaram certas localidades a enfrentar mais/menos dificuldades no combate à COVID-19, estimou-se o efeito de determinadas características municipais sobre as principais estatísticas desta doença. Para tanto, consideraram-se dados cross-section (com casos/óbitos acumulados até 21 de abril/2021), sobre os municípios de Minas Gerais, e usaram-se os estimadores de Mínimos Quadrados Ordinários, Poisson e Binominal Negativo, além da técnica Extreme Bounds Analysis. Verificou-se que cidades pequenas, com mais unidades básicas de saúde e populações mais jovens, teriam menos casos/óbitos. Alternativamente, locais quentes, poluídos, tipicamente urbanos, desiguais, com maior atividade econômica e circulação de empregados, seriam mais problemáticos. A incidência e mortalidade aumentariam em municípios quentes, com maior atividade econômica e histórico de comorbidades. Todavia, a mortalidade diminuiria entre os mais educados e jovens. Ademais, a letalidade seria menor entre os jovens e em cidades com até 150 mil habitantes e poucas chuvas.Universidade Estadual de Campinas2022-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoTextoinfo:eu-repo/semantics/otherapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/ecos/article/view/8671786Economia e Sociedade; v. 31 n. 3 (2022): set./dez.[76]; 771-793Economia e Sociedade; Vol. 31 No. 3 (2022): set./dez.[76]; 771-793Economia e Sociedade; Vol. 31 Núm. 3 (2022): set./dez.[76]; 771-7931982-3533reponame:Economia e Sociedadeinstname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/ecos/article/view/8671786/30786Brazil; ContemporaryBrasil; ContemporáneoBrasil; ContemporâneoCopyright (c) 2022 Economia e Sociedadehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFirme, Vinícius de Azevedo CoutoRibeiro, Hilton Manoel Dias Taveira, Juliana Gonçalves 2023-03-14T13:39:38Zoai:ojs.periodicos.sbu.unicamp.br:article/8671786Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/ecosPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/ecos/oaicbaltar@unicamp.br||ppec@unicamp.br||prates@unicamp.br1982-35330104-0618opendoar:2023-03-14T13:39:38Economia e Sociedade - Universidade Estadual de Campinas (UNICAMP)false |
dc.title.none.fl_str_mv |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais Características locais e a pandemia de covid-19: uma análise voltada aos municípios do estado brasileiro de Minas Gerais Local characteristics and the Covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
title |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
spellingShingle |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais Firme, Vinícius de Azevedo Couto Covid-19 Políticas Regionais Determinantes socioeconômicos Covid-19 Políticas regionais Determinantes socioeconômicos Covid-19 Regional policies Socioeconomic determinants |
title_short |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
title_full |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
title_fullStr |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
title_full_unstemmed |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
title_sort |
Local characteristics and the covid-19 pandemic: an analysis focused on the municipalities from the brazilian state of Minas Gerais |
author |
Firme, Vinícius de Azevedo Couto |
author_facet |
Firme, Vinícius de Azevedo Couto Ribeiro, Hilton Manoel Dias Taveira, Juliana Gonçalves |
author_role |
author |
author2 |
Ribeiro, Hilton Manoel Dias Taveira, Juliana Gonçalves |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Firme, Vinícius de Azevedo Couto Ribeiro, Hilton Manoel Dias Taveira, Juliana Gonçalves |
dc.subject.por.fl_str_mv |
Covid-19 Políticas Regionais Determinantes socioeconômicos Covid-19 Políticas regionais Determinantes socioeconômicos Covid-19 Regional policies Socioeconomic determinants |
topic |
Covid-19 Políticas Regionais Determinantes socioeconômicos Covid-19 Políticas regionais Determinantes socioeconômicos Covid-19 Regional policies Socioeconomic determinants |
description |
In order to understand the reasons that led certain locations to face more/less difficulties in dealing with COVID-19, the effect of some municipal characteristics, on the main statistics related to the disease, was estimated. For this purpose, cross-section data (with cases/deaths accumulated up until April 21, 2021), on the municipalities of Minas Gerais were considered, and Ordinary Least Squares, Poisson and Negative Binomial estimators were used, in addition to the Extreme Bounds Analysis technique. Small towns, with a larger number of public health clinics (known in Brazil as “basic health units”) and more young people would have fewer cases/deaths. Urban, hot, polluted locations with higher inequality, as well as greater economic activity and movement of employees, presented the greatest problems. Incidence/mortality would increase in hot cities, with greater economic activity and a history of comorbidity. However, mortality would decrease among the youngest/most educated people. Furthermore, lethality would be lower among the younger population and in sparsely populated (up to 150,000 inhabitants) and rainless cities. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto Texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/ecos/article/view/8671786 |
url |
https://periodicos.sbu.unicamp.br/ojs/index.php/ecos/article/view/8671786 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.sbu.unicamp.br/ojs/index.php/ecos/article/view/8671786/30786 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Economia e Sociedade https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Economia e Sociedade https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary Brasil; Contemporáneo Brasil; Contemporâneo |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
publisher.none.fl_str_mv |
Universidade Estadual de Campinas |
dc.source.none.fl_str_mv |
Economia e Sociedade; v. 31 n. 3 (2022): set./dez.[76]; 771-793 Economia e Sociedade; Vol. 31 No. 3 (2022): set./dez.[76]; 771-793 Economia e Sociedade; Vol. 31 Núm. 3 (2022): set./dez.[76]; 771-793 1982-3533 reponame:Economia e Sociedade instname:Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP |
instname_str |
Universidade Estadual de Campinas (UNICAMP) |
instacron_str |
UNICAMP |
institution |
UNICAMP |
reponame_str |
Economia e Sociedade |
collection |
Economia e Sociedade |
repository.name.fl_str_mv |
Economia e Sociedade - Universidade Estadual de Campinas (UNICAMP) |
repository.mail.fl_str_mv |
cbaltar@unicamp.br||ppec@unicamp.br||prates@unicamp.br |
_version_ |
1800216544297353216 |