Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/29323 |
Resumo: | The research aimed to carry out an epidemiological survey comparing the cases of COVID-19 in moments before and after the electoral period in Brazil, pointing out the influences of the federal public administration in the increase in incidence and consequent mortality. This is a quantitative epidemiological study with a critical approach, based on secondary data from the Information and Notifiable Diseases System (SINAN) found in the Information Technology Department of the Unified Health System (DATASUS), whose data are from March to December 2020, and January to March 2021 were selected. We analyzed 12,748,747 confirmed cases of COVID-19 grouped in incidence by month in the period evaluated and compared them by the non-parametric Kruskal-Wallis method, where a P value <0.05 was considered statistically significant. The data from this study demonstrate the significant increase in cases of COVID-19 in Brazil, where in November (the month after the elections), there is an increase in notifications compared to the month of October, the increase becomes statistically significant from the month of December onwards, which is the drastic scenario in the following year. In summary, based on the data expressed, it can be concluded that the Brazilian electoral period was largely influential in the worsening of the pandemic in the country. |
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Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of casesIncidencia de la enfermedad del nuevo coronavirus en Brasil en períodos antes y después de las elecciones y la influencia del gobierno en la progresión de los casosIncidência da doença do novo coronavírus no Brasil nos períodos pré e pós-eleitorais e a influência governamental na progressão dos casosCoronavírusDemocraciaBrasil.CoronavirusDemocraciaBrasil.CoronavirusDemocracyBrazil.The research aimed to carry out an epidemiological survey comparing the cases of COVID-19 in moments before and after the electoral period in Brazil, pointing out the influences of the federal public administration in the increase in incidence and consequent mortality. This is a quantitative epidemiological study with a critical approach, based on secondary data from the Information and Notifiable Diseases System (SINAN) found in the Information Technology Department of the Unified Health System (DATASUS), whose data are from March to December 2020, and January to March 2021 were selected. We analyzed 12,748,747 confirmed cases of COVID-19 grouped in incidence by month in the period evaluated and compared them by the non-parametric Kruskal-Wallis method, where a P value <0.05 was considered statistically significant. The data from this study demonstrate the significant increase in cases of COVID-19 in Brazil, where in November (the month after the elections), there is an increase in notifications compared to the month of October, the increase becomes statistically significant from the month of December onwards, which is the drastic scenario in the following year. In summary, based on the data expressed, it can be concluded that the Brazilian electoral period was largely influential in the worsening of the pandemic in the country.La investigación tuvo como objetivo realizar un levantamiento epidemiológico comparando los casos de COVID-19 en momentos antes y después del período electoral en Brasil, señalando las influencias de la administración pública federal en el aumento de la incidencia y consecuente mortalidad. Se trata de un estudio epidemiológico cuantitativo con enfoque crítico, basado en datos secundarios del Sistema de Información y Enfermedades de Declaración Obligatoria (SINAN) que se encuentran en el Departamento de Tecnologías de la Información del Sistema Único de Salud (DATASUS), cuyos datos son de marzo a diciembre de 2020, y Se seleccionaron de enero a marzo de 2021. Se analizaron 12.748.747 casos confirmados de COVID-19 agrupados en incidencia por mes en el período evaluado y se compararon por el método no paramétrico de Kruskal-Wallis, donde se consideró estadísticamente significativo un valor de P < 0,05. Los datos de este estudio demuestran el aumento significativo de casos de COVID-19 en Brasil, donde en noviembre (el mes posterior a las elecciones), hay un aumento de notificaciones en comparación con el mes de octubre, el aumento se vuelve estadísticamente significativo a partir del mes de diciembre en adelante, que es el escenario drástico en el año siguiente. En resumen, a partir de los datos expresados, se puede concluir que el período electoral brasileño influyó en gran medida en el empeoramiento de la pandemia en el país.A pesquisa teve como objetivo realizar um levantamento epidemiológico comparando os casos de COVID-19 em momentos antes e após o período eleitoral no Brasil, apontando as influências da administração pública federal no aumento da incidência e consequente mortalidade. Trata-se de um estudo epidemiológico quantitativo com abordagem crítica, baseado em dados secundários do Sistema de Informação e Agravos de Notificação (SINAN) encontrados no Departamento de Informática do Sistema Único de Saúde (DATASUS), cujos dados são de março a dezembro de 2020, e janeiro a março de 2021 foram selecionados. Analisamos 12.748.747 casos confirmados de COVID-19 agrupados em incidência por mês no período avaliado e os comparamos pelo método não paramétrico de Kruskal-Wallis, onde um valor de P <0,05 foi considerado estatisticamente significativo. Os dados deste estudo demonstram o aumento significativo de casos de COVID-19 no Brasil, onde em novembro (o mês posterior às eleições), há um aumento nas notificações em relação ao mês de outubro, o aumento passa a ser estatisticamente significativo a partir do mês de dezembro em diante, que é o cenário drástico no ano seguinte. Em síntese, com base nos dados expressos, pode-se concluir que o período eleitoral brasileiro teve grande influência no agravamento da pandemia no país.Research, Society and Development2022-05-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2932310.33448/rsd-v11i6.29323Research, Society and Development; Vol. 11 No. 6; e52711629323Research, Society and Development; Vol. 11 Núm. 6; e52711629323Research, Society and Development; v. 11 n. 6; e527116293232525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/29323/25471Copyright (c) 2022 Estéfane Silva Santos; Danrley Oliveira Carneiro; Weslley de Jesus Santos; Débora Silva Amorim; Carolina Ferreira Amorim; Felicson Leonardo Oliveira Limahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Estéfane Silva Carneiro, Danrley Oliveira Santos, Weslley de Jesus Amorim, Débora Silva Amorim, Carolina Ferreira Lima, Felicson Leonardo Oliveira 2022-05-13T18:04:10Zoai:ojs.pkp.sfu.ca:article/29323Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:46:26.541288Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases Incidencia de la enfermedad del nuevo coronavirus en Brasil en períodos antes y después de las elecciones y la influencia del gobierno en la progresión de los casos Incidência da doença do novo coronavírus no Brasil nos períodos pré e pós-eleitorais e a influência governamental na progressão dos casos |
title |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases |
spellingShingle |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases Santos, Estéfane Silva Coronavírus Democracia Brasil. Coronavirus Democracia Brasil. Coronavirus Democracy Brazil. |
title_short |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases |
title_full |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases |
title_fullStr |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases |
title_full_unstemmed |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases |
title_sort |
Incidence of the new coronavirus disease in Brazil in periods before and after the elections and the governmental influence on the progression of cases |
author |
Santos, Estéfane Silva |
author_facet |
Santos, Estéfane Silva Carneiro, Danrley Oliveira Santos, Weslley de Jesus Amorim, Débora Silva Amorim, Carolina Ferreira Lima, Felicson Leonardo Oliveira |
author_role |
author |
author2 |
Carneiro, Danrley Oliveira Santos, Weslley de Jesus Amorim, Débora Silva Amorim, Carolina Ferreira Lima, Felicson Leonardo Oliveira |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Santos, Estéfane Silva Carneiro, Danrley Oliveira Santos, Weslley de Jesus Amorim, Débora Silva Amorim, Carolina Ferreira Lima, Felicson Leonardo Oliveira |
dc.subject.por.fl_str_mv |
Coronavírus Democracia Brasil. Coronavirus Democracia Brasil. Coronavirus Democracy Brazil. |
topic |
Coronavírus Democracia Brasil. Coronavirus Democracia Brasil. Coronavirus Democracy Brazil. |
description |
The research aimed to carry out an epidemiological survey comparing the cases of COVID-19 in moments before and after the electoral period in Brazil, pointing out the influences of the federal public administration in the increase in incidence and consequent mortality. This is a quantitative epidemiological study with a critical approach, based on secondary data from the Information and Notifiable Diseases System (SINAN) found in the Information Technology Department of the Unified Health System (DATASUS), whose data are from March to December 2020, and January to March 2021 were selected. We analyzed 12,748,747 confirmed cases of COVID-19 grouped in incidence by month in the period evaluated and compared them by the non-parametric Kruskal-Wallis method, where a P value <0.05 was considered statistically significant. The data from this study demonstrate the significant increase in cases of COVID-19 in Brazil, where in November (the month after the elections), there is an increase in notifications compared to the month of October, the increase becomes statistically significant from the month of December onwards, which is the drastic scenario in the following year. In summary, based on the data expressed, it can be concluded that the Brazilian electoral period was largely influential in the worsening of the pandemic in the country. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-08 |
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/29323 10.33448/rsd-v11i6.29323 |
url |
https://rsdjournal.org/index.php/rsd/article/view/29323 |
identifier_str_mv |
10.33448/rsd-v11i6.29323 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/29323/25471 |
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. 11 No. 6; e52711629323 Research, Society and Development; Vol. 11 Núm. 6; e52711629323 Research, Society and Development; v. 11 n. 6; e52711629323 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 |
reponame_str |
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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1797052711866204160 |