Covid-19 Mortality Rates Adjusted by Populations Age Structure Differences
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/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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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 |
format |
preprint |
status_str |
publishedVersion |
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 |
language |
por |
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 |
dc.source.none.fl_str_mv |
reponame:SciELO Preprints instname:SciELO instacron:SCI |
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SciELO |
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SCI |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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