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Lessons from COVID-19 mortality data across countries

Several online sources provide up-to-date open-access data on numbers, rates and proportions of COVID-19 deaths. Our article aims of comparing and interpreting between-country trends of mortality rate, case-fatality and all-cause excess mortality. METHODS: We used data from open databases (Our World...

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Autores principales: Corrao, Giovanni, Rea, Federico, Blangiardo, Gian Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584045/
https://www.ncbi.nlm.nih.gov/pubmed/33657587
http://dx.doi.org/10.1097/HJH.0000000000002833
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author Corrao, Giovanni
Rea, Federico
Blangiardo, Gian Carlo
author_facet Corrao, Giovanni
Rea, Federico
Blangiardo, Gian Carlo
author_sort Corrao, Giovanni
collection PubMed
description Several online sources provide up-to-date open-access data on numbers, rates and proportions of COVID-19 deaths. Our article aims of comparing and interpreting between-country trends of mortality rate, case-fatality and all-cause excess mortality. METHODS: We used data from open databases (Our World in Data mostly) for comparing mortality of eleven western countries (Austria, Belgium, Canada, France, Germany, Italy, Netherlands, Spain, Sweden, UK, USA). Between-country trends in mortality rate and case-fatality (both including deaths for COVID-19 as numerator and therefore labelled as COVID-19 mortality metrics) and all-cause excess mortality (i.e. observed deaths during the epidemic compared with those expected based on mortality in the same periods of previous years) were compared. RESULTS: Although Belgium ranks first in mortality from COVID-19 (possibly due to the broadest criterion for attributing a death to COVID-19), it does not rank first for all-cause excess mortality. Conversely, compared with Belgium, the UK, Italy and Spain have reported lower COVID-19 mortality (possibly due to the narrower definitions for a COVID-19 death) but higher all-cause excess mortality. Germany and Austria are the unique countries for which COVID-19 mortality, case-fatality and all-cause excess mortality consistently exhibited the lowest rates. CONCLUSION: Between-country heterogeneity of COVID-19 mortality metrics could be largely explained by differences of criteria for attributing a death to COVID-19; in age/comorbidity structures; in policies for identifying asymptomatic people affected from SARS-CoV-2 infection. All-cause excess mortality is recommended as a more reliable metric for comparing countries.
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spelling pubmed-95840452022-10-27 Lessons from COVID-19 mortality data across countries Corrao, Giovanni Rea, Federico Blangiardo, Gian Carlo J Hypertens Reviews and Meta-Analyses Several online sources provide up-to-date open-access data on numbers, rates and proportions of COVID-19 deaths. Our article aims of comparing and interpreting between-country trends of mortality rate, case-fatality and all-cause excess mortality. METHODS: We used data from open databases (Our World in Data mostly) for comparing mortality of eleven western countries (Austria, Belgium, Canada, France, Germany, Italy, Netherlands, Spain, Sweden, UK, USA). Between-country trends in mortality rate and case-fatality (both including deaths for COVID-19 as numerator and therefore labelled as COVID-19 mortality metrics) and all-cause excess mortality (i.e. observed deaths during the epidemic compared with those expected based on mortality in the same periods of previous years) were compared. RESULTS: Although Belgium ranks first in mortality from COVID-19 (possibly due to the broadest criterion for attributing a death to COVID-19), it does not rank first for all-cause excess mortality. Conversely, compared with Belgium, the UK, Italy and Spain have reported lower COVID-19 mortality (possibly due to the narrower definitions for a COVID-19 death) but higher all-cause excess mortality. Germany and Austria are the unique countries for which COVID-19 mortality, case-fatality and all-cause excess mortality consistently exhibited the lowest rates. CONCLUSION: Between-country heterogeneity of COVID-19 mortality metrics could be largely explained by differences of criteria for attributing a death to COVID-19; in age/comorbidity structures; in policies for identifying asymptomatic people affected from SARS-CoV-2 infection. All-cause excess mortality is recommended as a more reliable metric for comparing countries. Lippincott Williams & Wilkins 2021-05 2021-03-01 /pmc/articles/PMC9584045/ /pubmed/33657587 http://dx.doi.org/10.1097/HJH.0000000000002833 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Reviews and Meta-Analyses
Corrao, Giovanni
Rea, Federico
Blangiardo, Gian Carlo
Lessons from COVID-19 mortality data across countries
title Lessons from COVID-19 mortality data across countries
title_full Lessons from COVID-19 mortality data across countries
title_fullStr Lessons from COVID-19 mortality data across countries
title_full_unstemmed Lessons from COVID-19 mortality data across countries
title_short Lessons from COVID-19 mortality data across countries
title_sort lessons from covid-19 mortality data across countries
topic Reviews and Meta-Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584045/
https://www.ncbi.nlm.nih.gov/pubmed/33657587
http://dx.doi.org/10.1097/HJH.0000000000002833
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