Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/15208 |
Resumo: | Planet Earth is going through yet another pandemic in history, this time coming from the SARS-CoV-2 virus called COVID-19. Brazil is one of the most affected countries and one of the world leaders in number of infected and in deaths. Brazilian regions are more susceptible or resistant to the disease due to several social, environmental and economic factors. Thus, the objective was to obtain an index to measure the situation of municipalities in the northeastern region of Minas Gerais, with regard to the dissemination/impact of COVID-19 using simplified data. For that, the main indicators available in the IBGE and dataSUS database that they keep in relation to a COVID-19 were listed. For its validation, the proposed index was compared with other indicators and numbers related to infection and deaths. Also, a case study was carried out in the Mucuri valley region, which has 27 municipalities in the northeast of Minas Gerais. It can be observed that the index is not related to the others economic index. Nevertheless, the index is suitable to verify the impact of the pandemic in the cities of the Vale do Mucuri region, as well as demonstrating evidence of the predictability of the impact of COVID-19 among the municipalities. |
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Frailty index to covid-19: A case study of the impact of the disease in the mucuri valleyÍndice de fragilidade del covid-19: Un estúdio de caso del impacto de la enfermedad en el valle de mucuriÍndice de fragilidade ao covid-19: Um estudo de caso do impacto da doença no vale do mucuriPandemiaCoronavirusIndicadores de salud. PandemiaCoronavirusIndicadores de saúde.PandemicCoronavirusHealth indicators. Planet Earth is going through yet another pandemic in history, this time coming from the SARS-CoV-2 virus called COVID-19. Brazil is one of the most affected countries and one of the world leaders in number of infected and in deaths. Brazilian regions are more susceptible or resistant to the disease due to several social, environmental and economic factors. Thus, the objective was to obtain an index to measure the situation of municipalities in the northeastern region of Minas Gerais, with regard to the dissemination/impact of COVID-19 using simplified data. For that, the main indicators available in the IBGE and dataSUS database that they keep in relation to a COVID-19 were listed. For its validation, the proposed index was compared with other indicators and numbers related to infection and deaths. Also, a case study was carried out in the Mucuri valley region, which has 27 municipalities in the northeast of Minas Gerais. It can be observed that the index is not related to the others economic index. Nevertheless, the index is suitable to verify the impact of the pandemic in the cities of the Vale do Mucuri region, as well as demonstrating evidence of the predictability of the impact of COVID-19 among the municipalities.El planeta Tierra está atravesando otra pandemia en su historia, esta vez proveniente del virus SARS-CoV-2 llamado COVID-19. Brasil es uno de los países más afectados y uno de los líderes mundiales en número de infectados y muertes. Las regiones brasileñas son más susceptibles o resistentes a la enfermedad debido a varios factores sociales, ambientales y económicos. Así, el objetivo fue obtener un índice para medir la situación de los municipios, en la región nororiental de Minas Gerais, con respecto a la difusión / impacto de COVID-19 utilizando datos simplificados. Para ello, se enumeraron los principales índices disponibles en la base de datos IBGE y dataSUS, que están relacionados con COVID-19. Para su validación, el índice propuesto se comparó con otros indicadores y números relacionados con infecciones y muertes. Además, se realizó un estudio de caso en la región del valle de Mucuri, que cuenta con 27 municipios en el noreste de Minas Gerais. Se puede observar que el índice propuesto no mostró una correlación directa con los índices económicos. Sin embargo, resultó adecuado para verificar el posible impacto de la pandemia en las ciudades de la región del valle do Mucuri, así como para mostrar signos de previsibilidad del impacto del COVID-19 entre los municipios.O Planeta Terra passa por mais uma pandemia em sua história, dessa vez advinda do vírus SARS-CoV-2 denominada COVID-19. O Brasil é um dos países mais afetados e um dos líderes mundiais em número de infectados e de óbitos. As regiões brasileiras apresentam-se mais suscetíveis ou resistentes à doença em função de diversos fatores sociais, ambientais e econômicos. Dessa forma, objetivou-se a obtenção de um índice para a mensuração da situação dos municípios, da região nordeste de Minas Gerais, no que tange a disseminação/impacto da COVID-19 utilizando-se dados de obtenção simplificada. Para tanto, elencou-se os principais índices disponíveis na base de dados do IBGE e dataSUS que guardam relação com a COVID-19. Para sua validação, comparou-se o índice proposto com outros indicadores e números relativos à infecção e óbitos. Também, realizou-se um estudo de caso na região do vale do Mucuri, que conta com 27 municípios no nordeste de Minas Gerais. Pode-se observar que o índice proposto não demonstrou correlação direta com índices econômicos. Entretanto, demonstrou-se adequado para a verificação do possível impacto da pandemia nas cidades da região do Vale do Mucuri bem como demonstra indícios de previsibilidade do impacto da COVID-19 entre os municípios. Research, Society and Development2021-05-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1520810.33448/rsd-v10i5.15208Research, Society and Development; Vol. 10 No. 5; e45810515208Research, Society and Development; Vol. 10 Núm. 5; e45810515208Research, Society and Development; v. 10 n. 5; e458105152082525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15208/13592Copyright (c) 2021 Rafael Alvarenga Almeida; Rafael Genaro; Fábio Silva de Souza; Alany Teixeira Rodrigueshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAlmeida, Rafael AlvarengaGenaro, RafaelSouza, Fábio Silva deRodrigues, Alany Teixeira2021-05-17T18:20:49Zoai:ojs.pkp.sfu.ca:article/15208Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:05.093086Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley Índice de fragilidade del covid-19: Un estúdio de caso del impacto de la enfermedad en el valle de mucuri Índice de fragilidade ao covid-19: Um estudo de caso do impacto da doença no vale do mucuri |
title |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley |
spellingShingle |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley Almeida, Rafael Alvarenga Pandemia Coronavirus Indicadores de salud. Pandemia Coronavirus Indicadores de saúde. Pandemic Coronavirus Health indicators. |
title_short |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley |
title_full |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley |
title_fullStr |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley |
title_full_unstemmed |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley |
title_sort |
Frailty index to covid-19: A case study of the impact of the disease in the mucuri valley |
author |
Almeida, Rafael Alvarenga |
author_facet |
Almeida, Rafael Alvarenga Genaro, Rafael Souza, Fábio Silva de Rodrigues, Alany Teixeira |
author_role |
author |
author2 |
Genaro, Rafael Souza, Fábio Silva de Rodrigues, Alany Teixeira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Almeida, Rafael Alvarenga Genaro, Rafael Souza, Fábio Silva de Rodrigues, Alany Teixeira |
dc.subject.por.fl_str_mv |
Pandemia Coronavirus Indicadores de salud. Pandemia Coronavirus Indicadores de saúde. Pandemic Coronavirus Health indicators. |
topic |
Pandemia Coronavirus Indicadores de salud. Pandemia Coronavirus Indicadores de saúde. Pandemic Coronavirus Health indicators. |
description |
Planet Earth is going through yet another pandemic in history, this time coming from the SARS-CoV-2 virus called COVID-19. Brazil is one of the most affected countries and one of the world leaders in number of infected and in deaths. Brazilian regions are more susceptible or resistant to the disease due to several social, environmental and economic factors. Thus, the objective was to obtain an index to measure the situation of municipalities in the northeastern region of Minas Gerais, with regard to the dissemination/impact of COVID-19 using simplified data. For that, the main indicators available in the IBGE and dataSUS database that they keep in relation to a COVID-19 were listed. For its validation, the proposed index was compared with other indicators and numbers related to infection and deaths. Also, a case study was carried out in the Mucuri valley region, which has 27 municipalities in the northeast of Minas Gerais. It can be observed that the index is not related to the others economic index. Nevertheless, the index is suitable to verify the impact of the pandemic in the cities of the Vale do Mucuri region, as well as demonstrating evidence of the predictability of the impact of COVID-19 among the municipalities. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-13 |
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://rsdjournal.org/index.php/rsd/article/view/15208 10.33448/rsd-v10i5.15208 |
url |
https://rsdjournal.org/index.php/rsd/article/view/15208 |
identifier_str_mv |
10.33448/rsd-v10i5.15208 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/15208/13592 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 5; e45810515208 Research, Society and Development; Vol. 10 Núm. 5; e45810515208 Research, Society and Development; v. 10 n. 5; e45810515208 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
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Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052676882563072 |