Worldwide differences in COVID19-related mortality
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | preprint |
Idioma: | eng |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/167 |
Resumo: | Background: COVID-19 was declared pandemic on March 11. By April 18, over 150,000 people had died around the world. Here we compare mortality statistics due to COVID-19 worldwide, by adjusting for the size of the population and the stage of the pandemic. Methods: Data from the European Centre for Disease Control and Prevention, and Our World in Data websites were used. Analyses are based on number of deaths per one million inhabitants. In order to account for the stage of the pandemic, the baseline date was defined as the day in which the 10th death was reported. The analyses included 78 countries and territories which reported 10 or more deaths by April 9. Results: Mortality statistics varied remarkably worldwide. On day 10, India had 0.06 deaths per million, Belgium had 30.46 and San Marino 618.78. On day 20, India had 0.27 deaths per million, China had 0.71 and Spain 139.62. On day 30, four Asian countries had the lowest mortality figures, whereas eight European countries had the highest ones. In Italy and Spain, mortality on day 40 was greater than 250 per million, whereas in China and South Korea, mortality was below 4 per million. Mortality on day 10 was moderately correlated with life expectancy (rho 0.53; P<0.001), but not with population density (rho 0.12; P=0.31). Conclusions: Asian countries presented much lower mortality figures as compared to European ones. Life expectancy was found to be correlated with mortality. |
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Worldwide differences in COVID19-related mortalityDiferenças nas taxas de mortalidade por COVID-19 ao redor do mundoCOVID-19mortalidadeepidemiologiaCOVID-19mortalityepidemiologyBackground: COVID-19 was declared pandemic on March 11. By April 18, over 150,000 people had died around the world. Here we compare mortality statistics due to COVID-19 worldwide, by adjusting for the size of the population and the stage of the pandemic. Methods: Data from the European Centre for Disease Control and Prevention, and Our World in Data websites were used. Analyses are based on number of deaths per one million inhabitants. In order to account for the stage of the pandemic, the baseline date was defined as the day in which the 10th death was reported. The analyses included 78 countries and territories which reported 10 or more deaths by April 9. Results: Mortality statistics varied remarkably worldwide. On day 10, India had 0.06 deaths per million, Belgium had 30.46 and San Marino 618.78. On day 20, India had 0.27 deaths per million, China had 0.71 and Spain 139.62. On day 30, four Asian countries had the lowest mortality figures, whereas eight European countries had the highest ones. In Italy and Spain, mortality on day 40 was greater than 250 per million, whereas in China and South Korea, mortality was below 4 per million. Mortality on day 10 was moderately correlated with life expectancy (rho 0.53; P<0.001), but not with population density (rho 0.12; P=0.31). Conclusions: Asian countries presented much lower mortality figures as compared to European ones. Life expectancy was found to be correlated with mortality. Introdução: A COVID-19 foi declarada uma pandemia em 11 de março. Até o dia 18 de abril, há haviam falecido mais de 150.000 pessoas ao redor do mundo. Neste artigo, são comparadas as estatísticas de mortalidade por COVID-19 no mundo, ajustando-se para o tamanho da população e para o estágio da pandemia em cada país. Métodos: Dados dos websites do Centro para o Controle e Prevenção de Doenças da Europa e do Our World in Data foram utilizados. As análises são baseadas no número de mortes por um milhão de habitantes. Para levar em consideração o estágio da pandemia, definiu-se como linha de base a data da décima morte em cada país. As análises incluíram 78 países e territórios com 10 ou mais mortes relatadas até o dia 09 de abril. Resultados: As taxas de mortalidade variaram consideravelmente ao redor do mundo.No dia 10, a Índia tinha 0,06 mortes por um milhão, a Bélgica tinha 30,46 e San Marino tinha 618,78. No dia 20, a Índia tinha 0,27 mortes por um milhão, a China 0,71 e a Espanha 139,62. No dia 30, quatro países da Ásia tinham as menores taxas de mortalidade, enquanto oito países europeus tinham as maiores. Na Itália e na Espanha, a mortalidade no dia 40 era maior do que 250 por um milhão, enquanto na China e na Coréia do Sul, era abaixo de 4 por um milhão. A mortalidade no dia 10 correlacionou-se moderadamente com a expectativa de vida (rho 0,53; P<0,001), mas não mostrou correlação com a densidade populacional (rho 0,12; P=0,31). Conclusões: Os países asiáticos apresentaram taxas de mortalidade muito menores do que aquelas observadas nos países europeus. A expectativa de vida correlacionou-se com a mortalidade.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-04-24info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/16710.1590/SciELOPreprints.167enghttps://preprints.scielo.org/index.php/scielo/article/view/167/199Copyright (c) 2020 Pedro Hallalhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessHallal, Pedroreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-04-24T13:11:48Zoai:ops.preprints.scielo.org:preprint/167Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-04-24T13:11:48SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Worldwide differences in COVID19-related mortality Diferenças nas taxas de mortalidade por COVID-19 ao redor do mundo |
title |
Worldwide differences in COVID19-related mortality |
spellingShingle |
Worldwide differences in COVID19-related mortality Hallal, Pedro COVID-19 mortalidade epidemiologia COVID-19 mortality epidemiology |
title_short |
Worldwide differences in COVID19-related mortality |
title_full |
Worldwide differences in COVID19-related mortality |
title_fullStr |
Worldwide differences in COVID19-related mortality |
title_full_unstemmed |
Worldwide differences in COVID19-related mortality |
title_sort |
Worldwide differences in COVID19-related mortality |
author |
Hallal, Pedro |
author_facet |
Hallal, Pedro |
author_role |
author |
dc.contributor.author.fl_str_mv |
Hallal, Pedro |
dc.subject.por.fl_str_mv |
COVID-19 mortalidade epidemiologia COVID-19 mortality epidemiology |
topic |
COVID-19 mortalidade epidemiologia COVID-19 mortality epidemiology |
description |
Background: COVID-19 was declared pandemic on March 11. By April 18, over 150,000 people had died around the world. Here we compare mortality statistics due to COVID-19 worldwide, by adjusting for the size of the population and the stage of the pandemic. Methods: Data from the European Centre for Disease Control and Prevention, and Our World in Data websites were used. Analyses are based on number of deaths per one million inhabitants. In order to account for the stage of the pandemic, the baseline date was defined as the day in which the 10th death was reported. The analyses included 78 countries and territories which reported 10 or more deaths by April 9. Results: Mortality statistics varied remarkably worldwide. On day 10, India had 0.06 deaths per million, Belgium had 30.46 and San Marino 618.78. On day 20, India had 0.27 deaths per million, China had 0.71 and Spain 139.62. On day 30, four Asian countries had the lowest mortality figures, whereas eight European countries had the highest ones. In Italy and Spain, mortality on day 40 was greater than 250 per million, whereas in China and South Korea, mortality was below 4 per million. Mortality on day 10 was moderately correlated with life expectancy (rho 0.53; P<0.001), but not with population density (rho 0.12; P=0.31). Conclusions: Asian countries presented much lower mortality figures as compared to European ones. Life expectancy was found to be correlated with mortality. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-24 |
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/167 10.1590/SciELOPreprints.167 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/167 |
identifier_str_mv |
10.1590/SciELOPreprints.167 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/167/199 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Pedro Hallal https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Pedro Hallal 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 |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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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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scielo.submission@scielo.org |
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