Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years

Detalhes bibliográficos
Autor(a) principal: Wyper, Grant
Data de Publicação: 2021
Outros Autores: Assunção, Ricardo, Colzani, Edoardo, Grant, Ian, Haagsma, Juanita A, Lagerweij, Giske, Von der Lippe, Elena, McDonald, Scott A., Pires, Sara, Porst, Michael, Speybroeck, Niko, Devleesschauwer, Brecht
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/8042
Resumo: Background: To date, most efforts to understand the comparative population health impact of COVID-19 have been made using mortality-based metrics. This has intensified discussion over methodological choices; in particular, how we value the life-years prematurely lost due to COVID-19. So far, the direct impact of COVID-19 on population health has varied across countries, with wide variation in incidence and infection fatality rates. Understanding and quantifying the combined impact of morbidity and mortality is a key step to standardizing comparisons across countries, and to quantify the within-country impact of COVID-19 relative to other causes of disease and injury, sub-national areas or demographics. This can be achieved by estimating summary measures of population health like disability-adjusted life years (DALYs). The estimation of DALYs is useful to provide comprehensive and comparative public health intelligence to inform decision-making for the management of the COVID-19 pandemic, particularly around the extent of direct and indirect consequences. At present, the Global Burden of Disease (GBD) study has not integrated COVID-19. Some studies have already estimated DALYs due to COVID-19. The first published assessment was performed for Korea, up until the end of April 2020. An assessment, using a similar time frame, followed for Italy. To date, published studies have only included one COVID-19 related health state, or disability weights were country-specific. Aim: Our paper provides a step-by-step guide to define COVID-19 as a cause of disease burden, which can be used to calculate DALYs. Additionally, we suggest pragmatic data inputs, reflecting that availability and quality of data inputs will vary by country. This paper builds on previous DALY calculation guides. As our paper provides suggestions for different solutions, we recommend that users should be clear about their methodological choices to aid comparisons and knowledge translation.
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spelling Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life YearsCOVID-19Disability-adjusted Life YearYears Lived with DisabilityYears of Life LostCoronavirusEuropean Burden of Disease NetworkSegurança AlimentarToxicologia dos AlimentosComposição dos AlimentosAvaliação do RiscoBackground: To date, most efforts to understand the comparative population health impact of COVID-19 have been made using mortality-based metrics. This has intensified discussion over methodological choices; in particular, how we value the life-years prematurely lost due to COVID-19. So far, the direct impact of COVID-19 on population health has varied across countries, with wide variation in incidence and infection fatality rates. Understanding and quantifying the combined impact of morbidity and mortality is a key step to standardizing comparisons across countries, and to quantify the within-country impact of COVID-19 relative to other causes of disease and injury, sub-national areas or demographics. This can be achieved by estimating summary measures of population health like disability-adjusted life years (DALYs). The estimation of DALYs is useful to provide comprehensive and comparative public health intelligence to inform decision-making for the management of the COVID-19 pandemic, particularly around the extent of direct and indirect consequences. At present, the Global Burden of Disease (GBD) study has not integrated COVID-19. Some studies have already estimated DALYs due to COVID-19. The first published assessment was performed for Korea, up until the end of April 2020. An assessment, using a similar time frame, followed for Italy. To date, published studies have only included one COVID-19 related health state, or disability weights were country-specific. Aim: Our paper provides a step-by-step guide to define COVID-19 as a cause of disease burden, which can be used to calculate DALYs. Additionally, we suggest pragmatic data inputs, reflecting that availability and quality of data inputs will vary by country. This paper builds on previous DALY calculation guides. As our paper provides suggestions for different solutions, we recommend that users should be clear about their methodological choices to aid comparisons and knowledge translation.This publication is based upon work from COST Action CA18218 (European Burden of disease Network—burden-eu.net), supported by COST (European Cooperation in Science and Technology—www.cost.eu).International Journal of Public Health | Published by FrontiersRepositório Científico do Instituto Nacional de SaúdeWyper, GrantAssunção, RicardoColzani, EdoardoGrant, IanHaagsma, Juanita ALagerweij, GiskeVon der Lippe, ElenaMcDonald, Scott A.Pires, SaraPorst, MichaelSpeybroeck, NikoDevleesschauwer, Brecht2022-07-03T14:32:49Z2021-03-052021-03-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/8042engInt J Public Health. 2021 Mar 5;66:619011. doi: 10.3389/ijph.2021.619011. eCollection 20211661-855610.3389/ijph.2021.619011info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:42:24Zoai:repositorio.insa.pt:10400.18/8042Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:42:47.765454Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
title Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
spellingShingle Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
Wyper, Grant
COVID-19
Disability-adjusted Life Year
Years Lived with Disability
Years of Life Lost
Coronavirus
European Burden of Disease Network
Segurança Alimentar
Toxicologia dos Alimentos
Composição dos Alimentos
Avaliação do Risco
title_short Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
title_full Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
title_fullStr Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
title_full_unstemmed Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
title_sort Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
author Wyper, Grant
author_facet Wyper, Grant
Assunção, Ricardo
Colzani, Edoardo
Grant, Ian
Haagsma, Juanita A
Lagerweij, Giske
Von der Lippe, Elena
McDonald, Scott A.
Pires, Sara
Porst, Michael
Speybroeck, Niko
Devleesschauwer, Brecht
author_role author
author2 Assunção, Ricardo
Colzani, Edoardo
Grant, Ian
Haagsma, Juanita A
Lagerweij, Giske
Von der Lippe, Elena
McDonald, Scott A.
Pires, Sara
Porst, Michael
Speybroeck, Niko
Devleesschauwer, Brecht
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Wyper, Grant
Assunção, Ricardo
Colzani, Edoardo
Grant, Ian
Haagsma, Juanita A
Lagerweij, Giske
Von der Lippe, Elena
McDonald, Scott A.
Pires, Sara
Porst, Michael
Speybroeck, Niko
Devleesschauwer, Brecht
dc.subject.por.fl_str_mv COVID-19
Disability-adjusted Life Year
Years Lived with Disability
Years of Life Lost
Coronavirus
European Burden of Disease Network
Segurança Alimentar
Toxicologia dos Alimentos
Composição dos Alimentos
Avaliação do Risco
topic COVID-19
Disability-adjusted Life Year
Years Lived with Disability
Years of Life Lost
Coronavirus
European Burden of Disease Network
Segurança Alimentar
Toxicologia dos Alimentos
Composição dos Alimentos
Avaliação do Risco
description Background: To date, most efforts to understand the comparative population health impact of COVID-19 have been made using mortality-based metrics. This has intensified discussion over methodological choices; in particular, how we value the life-years prematurely lost due to COVID-19. So far, the direct impact of COVID-19 on population health has varied across countries, with wide variation in incidence and infection fatality rates. Understanding and quantifying the combined impact of morbidity and mortality is a key step to standardizing comparisons across countries, and to quantify the within-country impact of COVID-19 relative to other causes of disease and injury, sub-national areas or demographics. This can be achieved by estimating summary measures of population health like disability-adjusted life years (DALYs). The estimation of DALYs is useful to provide comprehensive and comparative public health intelligence to inform decision-making for the management of the COVID-19 pandemic, particularly around the extent of direct and indirect consequences. At present, the Global Burden of Disease (GBD) study has not integrated COVID-19. Some studies have already estimated DALYs due to COVID-19. The first published assessment was performed for Korea, up until the end of April 2020. An assessment, using a similar time frame, followed for Italy. To date, published studies have only included one COVID-19 related health state, or disability weights were country-specific. Aim: Our paper provides a step-by-step guide to define COVID-19 as a cause of disease burden, which can be used to calculate DALYs. Additionally, we suggest pragmatic data inputs, reflecting that availability and quality of data inputs will vary by country. This paper builds on previous DALY calculation guides. As our paper provides suggestions for different solutions, we recommend that users should be clear about their methodological choices to aid comparisons and knowledge translation.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-05
2021-03-05T00:00:00Z
2022-07-03T14:32:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/8042
url http://hdl.handle.net/10400.18/8042
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Int J Public Health. 2021 Mar 5;66:619011. doi: 10.3389/ijph.2021.619011. eCollection 2021
1661-8556
10.3389/ijph.2021.619011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv International Journal of Public Health | Published by Frontiers
publisher.none.fl_str_mv International Journal of Public Health | Published by Frontiers
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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