Burden of Disease Methods: a Guide to Calculate COVID-19 Disability-Adjusted Life Years
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , |
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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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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application/pdf |
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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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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