Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences

Detalhes bibliográficos
Autor(a) principal: Pinho, Marcelo
Data de Publicação: 2021
Outros Autores: Carvalho, Enéas Gonçalves de
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/2084
Resumo: One of the tools to monitor the dynamics of the Covid-19 pandemic has been, from its earliest days, the international comparison of mortality rates. The indisputable evidence that lethality is exponentially related to the age of the affected people implies that, for many purposes, a more appropriate indicator should compensate for differences in the age profile between populations. This article sets out a method for calculating such standardized mortality rates, which take into account both the discrepancies in the age pyramids and the mortality rates by age groups. Advancing relatively to the few other similar initiatives found in the literature, the method is applied to a group of 28 countries that on 1/28/2021 accounted for 82% of deaths caused by the pandemic. The age-adjusted mortality rates describe a picture quite different from that portrayed by the crude rates, with three different patterns of mortality. Six Latin American countries and South Africa assume leading positions in the ranking calculated based on these rates. Moreover, a partial but sufficiently accurate update of the calculation based on the number of deaths until 3/26/2021 indicates that in this ranking Brazil only stands behind Mexico and Peru.
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spelling Covid-19 Mortality Rates Adjusted by Populations Age Structure DifferencesTaxas de Mortalidade por Covid-19 Ajustadas pelas Diferenças na Estrutura Etária das PopulaçõesCovid-19demografia da pandemiataxas de mortalidade padronizadastaxas de mortalidade ajustadas pela idadeCovid-19pandemic demographyage-adjusted mortality rates.standardized mortality ratesOne of the tools to monitor the dynamics of the Covid-19 pandemic has been, from its earliest days, the international comparison of mortality rates. The indisputable evidence that lethality is exponentially related to the age of the affected people implies that, for many purposes, a more appropriate indicator should compensate for differences in the age profile between populations. This article sets out a method for calculating such standardized mortality rates, which take into account both the discrepancies in the age pyramids and the mortality rates by age groups. Advancing relatively to the few other similar initiatives found in the literature, the method is applied to a group of 28 countries that on 1/28/2021 accounted for 82% of deaths caused by the pandemic. The age-adjusted mortality rates describe a picture quite different from that portrayed by the crude rates, with three different patterns of mortality. Six Latin American countries and South Africa assume leading positions in the ranking calculated based on these rates. Moreover, a partial but sufficiently accurate update of the calculation based on the number of deaths until 3/26/2021 indicates that in this ranking Brazil only stands behind Mexico and Peru.O monitoramento da dinâmica da pandemia de Covid-19 tem feito uso, desde os seus primeiros dias, da comparação internacional de taxas de mortalidade. As evidências indisputáveis de que a letalidade guarda uma relação fortíssima com a idade das pessoas acometidas implica que, para muitos fins, um indicador mais adequado seriam taxas de mortalidade padronizadas de maneira a compensar as diferenças de perfil etário entre as populações. Este artigo expõe um método para calcular taxas de mortalidade padronizadas que levam em conta tanto as discrepâncias nas pirâmides etárias quanto nas taxas de mortalidade por faixas de idade. Avançando em relação às poucas outras iniciativas congêneres encontradas na literatura, o método é aplicado para um conjunto de 28 países que em 28/1/2021 respondiam por 82% das mortes provocadas pela pandemia. As taxas de mortalidade ajustadas descrevem um quadro bem diferente do retratado pelas taxas brutas, com três padrões distintos de mortalidade. Seis países latino-americanos e a África do Sul assumem posições de proa no ranking calculado a partir dessas taxas. Mais especificamente, uma atualização parcial, mas suficientemente acurada, do cálculo com base no número de mortes até 26/3/2021 indica que nesse ranking o Brasil ficaria atrás apenas do México e do Peru.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-04-07info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/208410.1590/SciELOPreprints.2084porhttps://preprints.scielo.org/index.php/scielo/article/view/2084/3443Copyright (c) 2021 Marcelo Pinho, Enéas Gonçalves de Carvalhohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPinho, MarceloCarvalho, Enéas Gonçalves dereponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-04-05T21:45:43Zoai:ops.preprints.scielo.org:preprint/2084Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-04-05T21:45:43SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
Taxas de Mortalidade por Covid-19 Ajustadas pelas Diferenças na Estrutura Etária das Populações
title Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
spellingShingle Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
Pinho, Marcelo
Covid-19
demografia da pandemia
taxas de mortalidade padronizadas
taxas de mortalidade ajustadas pela idade
Covid-19
pandemic demography
age-adjusted mortality rates.
standardized mortality rates
title_short Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
title_full Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
title_fullStr Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
title_full_unstemmed Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
title_sort Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
author Pinho, Marcelo
author_facet Pinho, Marcelo
Carvalho, Enéas Gonçalves de
author_role author
author2 Carvalho, Enéas Gonçalves de
author2_role author
dc.contributor.author.fl_str_mv Pinho, Marcelo
Carvalho, Enéas Gonçalves de
dc.subject.por.fl_str_mv Covid-19
demografia da pandemia
taxas de mortalidade padronizadas
taxas de mortalidade ajustadas pela idade
Covid-19
pandemic demography
age-adjusted mortality rates.
standardized mortality rates
topic Covid-19
demografia da pandemia
taxas de mortalidade padronizadas
taxas de mortalidade ajustadas pela idade
Covid-19
pandemic demography
age-adjusted mortality rates.
standardized mortality rates
description One of the tools to monitor the dynamics of the Covid-19 pandemic has been, from its earliest days, the international comparison of mortality rates. The indisputable evidence that lethality is exponentially related to the age of the affected people implies that, for many purposes, a more appropriate indicator should compensate for differences in the age profile between populations. This article sets out a method for calculating such standardized mortality rates, which take into account both the discrepancies in the age pyramids and the mortality rates by age groups. Advancing relatively to the few other similar initiatives found in the literature, the method is applied to a group of 28 countries that on 1/28/2021 accounted for 82% of deaths caused by the pandemic. The age-adjusted mortality rates describe a picture quite different from that portrayed by the crude rates, with three different patterns of mortality. Six Latin American countries and South Africa assume leading positions in the ranking calculated based on these rates. Moreover, a partial but sufficiently accurate update of the calculation based on the number of deaths until 3/26/2021 indicates that in this ranking Brazil only stands behind Mexico and Peru.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/2084
10.1590/SciELOPreprints.2084
url https://preprints.scielo.org/index.php/scielo/preprint/view/2084
identifier_str_mv 10.1590/SciELOPreprints.2084
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/2084/3443
dc.rights.driver.fl_str_mv Copyright (c) 2021 Marcelo Pinho, Enéas Gonçalves de Carvalho
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Marcelo Pinho, Enéas Gonçalves de Carvalho
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 SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
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repository.mail.fl_str_mv scielo.submission@scielo.org
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