Age-standardized COVID-19 mortality in the capitals of different regions of Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1874 |
Resumo: | The marked increase in cases and deaths by Covid-19 has led to a significant overload on the health system in Brazil, especially in the cities of Manaus and Rio de Janeiro, and São Paulo. The description of the pandemic's impact has been based on absolute numbers or crude mortality rates without considering the pattern of distribution of age groups in different regions of the country. This study aims to compare the crude mortality rates for Covid-19 with standardized rates for age in the Brazilian states' capitals and in the Federal District. Information on death was accessed in the Influenza Surveillance Information System (SIVEP-Gripe), and the population denominators were based on the estimates available by the Ministry of Health. The age structure of Brazil's estimated population for 2020 was used as standard to calculate the age-standardized rates. The results show that the highest crude rates were observed in Manaus (253.6/100,000) and Rio de Janeiro (253.2/100,000). After age-standardization, there was a significant increase in rates in the North region. The highest adjusted rate was seen in Manaus (412.5/100,000), where 33% of deaths by Covid-19 occurred among individuals under 60. The mortality over 70 years old doubled if compared to Rio de Janeiro and tripled if compared to Sao Paulo. The use of age-standardized mortality rates eliminates interpretive biases, exposing the even greater weight of Covid-19 in the northern region of country. |
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Age-standardized COVID-19 mortality in the capitals of different regions of BrazilMortalidad por COVID-19 estandarizado por edad en las capitales de diferentes regiones de BrasilMORTALIDADE POR COVID-19 NO BRASIL AJUSTADA POR IDADE: MAIS ALTA NA REGIÃO NORTECOVID-19taxa de mortalidademortalidade por faixa etáriaBrasilDesigualdades em saúdeCOVID-19mortality rateage specific death rateBrazilhealth inequalitiesThe marked increase in cases and deaths by Covid-19 has led to a significant overload on the health system in Brazil, especially in the cities of Manaus and Rio de Janeiro, and São Paulo. The description of the pandemic's impact has been based on absolute numbers or crude mortality rates without considering the pattern of distribution of age groups in different regions of the country. This study aims to compare the crude mortality rates for Covid-19 with standardized rates for age in the Brazilian states' capitals and in the Federal District. Information on death was accessed in the Influenza Surveillance Information System (SIVEP-Gripe), and the population denominators were based on the estimates available by the Ministry of Health. The age structure of Brazil's estimated population for 2020 was used as standard to calculate the age-standardized rates. The results show that the highest crude rates were observed in Manaus (253.6/100,000) and Rio de Janeiro (253.2/100,000). After age-standardization, there was a significant increase in rates in the North region. The highest adjusted rate was seen in Manaus (412.5/100,000), where 33% of deaths by Covid-19 occurred among individuals under 60. The mortality over 70 years old doubled if compared to Rio de Janeiro and tripled if compared to Sao Paulo. The use of age-standardized mortality rates eliminates interpretive biases, exposing the even greater weight of Covid-19 in the northern region of country.O crescimento acentuado de casos e óbitos por Covid-19 tem levado a grande sobrecarga do sistema de saúde no Brasil em especial em cidades com Manaus e Rio de Janeiro e São Paulo. A descrição do impacto da pandemia tem se baseado em números absolutos ou taxas de mortalidade brutas não considerando o padrão de distribuição das faixas etárias nas diferentes regiões do país. Este estudo tem por objetivo comparar a taxas de mortalidade brutas por Covid-19 com taxas padronizadas por idade nas capitais dos estados brasileiras e no Distrito Federal. As informações sobre óbito foram acessadas no Sistema de Informação de Vigilância da Gripe (SIVEP-Gripe) e os denominadores populacionais foram baseados nas estimativas disponibilizadas pelo Ministério da Saúde. Para o cálculo das padronizadas por idade utilizou-se a estrutura etária da população do Brasil estimada para 2020. Os resultados mostram que as maiores taxas brutas foram em Manaus (253,6/100.000) e Rio de Janeiro (253,2/100.000). Após padronização por idade, houve aumento expressivo das taxas na região Norte. A maior taxa ajustada foi vista em Manaus (412,5/100.000) onde 33% de óbitos por Covid-19 ocorreram entre menores de 60 anos. A mortalidade acima de 70 anos foi o dobro se comparada à do Rio de Janeiro e o triplo se comparada à de São Paulo. A utilização de taxas de mortalidade padronizadas por idade elimina vieses interpretativos expondo de forma marcante o peso ainda maior da Covid-19 na região Norte do país.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-04-05info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/187410.1590/SciELOPreprints.1874porhttps://preprints.scielo.org/index.php/scielo/article/view/1874/3433Copyright (c) 2021 Gulnar Azevedo e Silva, Beatriz Jardim, Paulo Lotufohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo e Silva, GulnarJardim, BeatrizLotufo, Pauloreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-02-16T20:09:24Zoai:ops.preprints.scielo.org:preprint/1874Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-02-16T20:09:24SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil Mortalidad por COVID-19 estandarizado por edad en las capitales de diferentes regiones de Brasil MORTALIDADE POR COVID-19 NO BRASIL AJUSTADA POR IDADE: MAIS ALTA NA REGIÃO NORTE |
title |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil |
spellingShingle |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil Azevedo e Silva, Gulnar COVID-19 taxa de mortalidade mortalidade por faixa etária Brasil Desigualdades em saúde COVID-19 mortality rate age specific death rate Brazil health inequalities |
title_short |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil |
title_full |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil |
title_fullStr |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil |
title_full_unstemmed |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil |
title_sort |
Age-standardized COVID-19 mortality in the capitals of different regions of Brazil |
author |
Azevedo e Silva, Gulnar |
author_facet |
Azevedo e Silva, Gulnar Jardim, Beatriz Lotufo, Paulo |
author_role |
author |
author2 |
Jardim, Beatriz Lotufo, Paulo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Azevedo e Silva, Gulnar Jardim, Beatriz Lotufo, Paulo |
dc.subject.por.fl_str_mv |
COVID-19 taxa de mortalidade mortalidade por faixa etária Brasil Desigualdades em saúde COVID-19 mortality rate age specific death rate Brazil health inequalities |
topic |
COVID-19 taxa de mortalidade mortalidade por faixa etária Brasil Desigualdades em saúde COVID-19 mortality rate age specific death rate Brazil health inequalities |
description |
The marked increase in cases and deaths by Covid-19 has led to a significant overload on the health system in Brazil, especially in the cities of Manaus and Rio de Janeiro, and São Paulo. The description of the pandemic's impact has been based on absolute numbers or crude mortality rates without considering the pattern of distribution of age groups in different regions of the country. This study aims to compare the crude mortality rates for Covid-19 with standardized rates for age in the Brazilian states' capitals and in the Federal District. Information on death was accessed in the Influenza Surveillance Information System (SIVEP-Gripe), and the population denominators were based on the estimates available by the Ministry of Health. The age structure of Brazil's estimated population for 2020 was used as standard to calculate the age-standardized rates. The results show that the highest crude rates were observed in Manaus (253.6/100,000) and Rio de Janeiro (253.2/100,000). After age-standardization, there was a significant increase in rates in the North region. The highest adjusted rate was seen in Manaus (412.5/100,000), where 33% of deaths by Covid-19 occurred among individuals under 60. The mortality over 70 years old doubled if compared to Rio de Janeiro and tripled if compared to Sao Paulo. The use of age-standardized mortality rates eliminates interpretive biases, exposing the even greater weight of Covid-19 in the northern region of country. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-04-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/1874 10.1590/SciELOPreprints.1874 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/1874 |
identifier_str_mv |
10.1590/SciELOPreprints.1874 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/1874/3433 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Gulnar Azevedo e Silva, Beatriz Jardim, Paulo Lotufo https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Gulnar Azevedo e Silva, Beatriz Jardim, Paulo Lotufo https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints |
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