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The direct disease burden of COVID-19 in Belgium in 2020 and 2021

BACKGROUND: Burden of disease estimates have become important population health metrics over the past decade to measure losses in health. In Belgium, the disease burden caused by COVID-19 has not yet been estimated, although COVID-19 has emerged as one of the most important diseases. Therefore, the...

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Autores principales: Devleesschauwer, Brecht, Willem, Lander, Jurčević, Jure, Smith, Pierre, Scohy, Aline, Wyper, Grant M. A., Pires, Sara Monteiro, Van Goethem, Nina, Beutels, Philippe, Franco, Nicolas, Abrams, Steven, Van Cauteren, Dieter, Speybroeck, Niko, Hens, Niel, De Pauw, Robby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476343/
https://www.ncbi.nlm.nih.gov/pubmed/37667264
http://dx.doi.org/10.1186/s12889-023-16572-0
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author Devleesschauwer, Brecht
Willem, Lander
Jurčević, Jure
Smith, Pierre
Scohy, Aline
Wyper, Grant M. A.
Pires, Sara Monteiro
Van Goethem, Nina
Beutels, Philippe
Franco, Nicolas
Abrams, Steven
Van Cauteren, Dieter
Speybroeck, Niko
Hens, Niel
De Pauw, Robby
author_facet Devleesschauwer, Brecht
Willem, Lander
Jurčević, Jure
Smith, Pierre
Scohy, Aline
Wyper, Grant M. A.
Pires, Sara Monteiro
Van Goethem, Nina
Beutels, Philippe
Franco, Nicolas
Abrams, Steven
Van Cauteren, Dieter
Speybroeck, Niko
Hens, Niel
De Pauw, Robby
author_sort Devleesschauwer, Brecht
collection PubMed
description BACKGROUND: Burden of disease estimates have become important population health metrics over the past decade to measure losses in health. In Belgium, the disease burden caused by COVID-19 has not yet been estimated, although COVID-19 has emerged as one of the most important diseases. Therefore, the current study aims to estimate the direct COVID-19 burden in Belgium, observed despite policy interventions, during 2020 and 2021, and compare it to the burden from other causes. METHODS: Disability-adjusted life years (DALYs) are the sum of Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) due to disease. DALYs allow comparing the burden of disease between countries, diseases, and over time. We used the European Burden of Disease Network consensus disease model for COVID-19 to estimate DALYs related to COVID-19. Estimates of person-years for (a) acute non-fatal disease states were calculated from a compartmental model, using Belgian seroprevalence, social contact, hospital, and intensive care admission data, (b) deaths were sourced from the national COVID-19 mortality surveillance, and (c) chronic post-acute disease states were derived from a Belgian cohort study. RESULTS: In 2020, the total number of COVID-19 related DALYs was estimated at 253,577 [252,541 − 254,739], which is higher than in 2021, when it was 139,281 [136,704 − 142,306]. The observed COVID-19 burden was largely borne by the elderly, and over 90% of the burden was attributable to premature mortality (i.e., YLLs). In younger people, morbidity (i.e., YLD) contributed relatively more to the DALYs, especially in 2021, when vaccination was rolled out. Morbidity was mainly attributable to long-lasting post-acute symptoms. CONCLUSION: COVID-19 had a substantial impact on population health in Belgium, especially in 2020, when COVID-19 would have been the main cause of disease burden if all other causes had maintained their 2019 level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16572-0.
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spelling pubmed-104763432023-09-05 The direct disease burden of COVID-19 in Belgium in 2020 and 2021 Devleesschauwer, Brecht Willem, Lander Jurčević, Jure Smith, Pierre Scohy, Aline Wyper, Grant M. A. Pires, Sara Monteiro Van Goethem, Nina Beutels, Philippe Franco, Nicolas Abrams, Steven Van Cauteren, Dieter Speybroeck, Niko Hens, Niel De Pauw, Robby BMC Public Health Research BACKGROUND: Burden of disease estimates have become important population health metrics over the past decade to measure losses in health. In Belgium, the disease burden caused by COVID-19 has not yet been estimated, although COVID-19 has emerged as one of the most important diseases. Therefore, the current study aims to estimate the direct COVID-19 burden in Belgium, observed despite policy interventions, during 2020 and 2021, and compare it to the burden from other causes. METHODS: Disability-adjusted life years (DALYs) are the sum of Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) due to disease. DALYs allow comparing the burden of disease between countries, diseases, and over time. We used the European Burden of Disease Network consensus disease model for COVID-19 to estimate DALYs related to COVID-19. Estimates of person-years for (a) acute non-fatal disease states were calculated from a compartmental model, using Belgian seroprevalence, social contact, hospital, and intensive care admission data, (b) deaths were sourced from the national COVID-19 mortality surveillance, and (c) chronic post-acute disease states were derived from a Belgian cohort study. RESULTS: In 2020, the total number of COVID-19 related DALYs was estimated at 253,577 [252,541 − 254,739], which is higher than in 2021, when it was 139,281 [136,704 − 142,306]. The observed COVID-19 burden was largely borne by the elderly, and over 90% of the burden was attributable to premature mortality (i.e., YLLs). In younger people, morbidity (i.e., YLD) contributed relatively more to the DALYs, especially in 2021, when vaccination was rolled out. Morbidity was mainly attributable to long-lasting post-acute symptoms. CONCLUSION: COVID-19 had a substantial impact on population health in Belgium, especially in 2020, when COVID-19 would have been the main cause of disease burden if all other causes had maintained their 2019 level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16572-0. BioMed Central 2023-09-04 /pmc/articles/PMC10476343/ /pubmed/37667264 http://dx.doi.org/10.1186/s12889-023-16572-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Devleesschauwer, Brecht
Willem, Lander
Jurčević, Jure
Smith, Pierre
Scohy, Aline
Wyper, Grant M. A.
Pires, Sara Monteiro
Van Goethem, Nina
Beutels, Philippe
Franco, Nicolas
Abrams, Steven
Van Cauteren, Dieter
Speybroeck, Niko
Hens, Niel
De Pauw, Robby
The direct disease burden of COVID-19 in Belgium in 2020 and 2021
title The direct disease burden of COVID-19 in Belgium in 2020 and 2021
title_full The direct disease burden of COVID-19 in Belgium in 2020 and 2021
title_fullStr The direct disease burden of COVID-19 in Belgium in 2020 and 2021
title_full_unstemmed The direct disease burden of COVID-19 in Belgium in 2020 and 2021
title_short The direct disease burden of COVID-19 in Belgium in 2020 and 2021
title_sort direct disease burden of covid-19 in belgium in 2020 and 2021
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476343/
https://www.ncbi.nlm.nih.gov/pubmed/37667264
http://dx.doi.org/10.1186/s12889-023-16572-0
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