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Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020
COVID-19 has affected all countries. Its containment represents a unique challenge for India due to a large population (> 1.38 billion) across a wide range of population densities. Assessment of the COVID-19 disease burden is required to put the disease impact into context and support future pand...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844028/ https://www.ncbi.nlm.nih.gov/pubmed/35165362 http://dx.doi.org/10.1038/s41598-022-06505-z |
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author | Singh, Balbir B. Devleesschauwer, Brecht Khatkar, Mehar S. Lowerison, Mark Singh, Baljit Dhand, Navneet K. Barkema, Herman W. |
author_facet | Singh, Balbir B. Devleesschauwer, Brecht Khatkar, Mehar S. Lowerison, Mark Singh, Baljit Dhand, Navneet K. Barkema, Herman W. |
author_sort | Singh, Balbir B. |
collection | PubMed |
description | COVID-19 has affected all countries. Its containment represents a unique challenge for India due to a large population (> 1.38 billion) across a wide range of population densities. Assessment of the COVID-19 disease burden is required to put the disease impact into context and support future pandemic policy development. Here, we present the national-level burden of COVID-19 in India in 2020 that accounts for differences across urban and rural regions and across age groups. Input data were collected from official records or published literature. The proportion of excess COVID-19 deaths was estimated using the Institute for Health Metrics and Evaluation, Washington data. Disability-adjusted life years (DALY) due to COVID-19 were estimated in the Indian population in 2020, comprised of years of life lost (YLL) and years lived with disability (YLD). YLL was estimated by multiplying the number of deaths due to COVID-19 by the residual standard life expectancy at the age of death due to the disease. YLD was calculated as a product of the number of incident cases of COVID-19, disease duration and disability weight. Scenario analyses were conducted to account for excess deaths not recorded in the official data and for reported COVID-19 deaths. The direct impact of COVID-19 in 2020 in India was responsible for 14,100,422 (95% uncertainty interval [UI] 14,030,129–14,213,231) DALYs, consisting of 99.2% (95% UI 98.47–99.64%) YLLs and 0.80% (95% UI 0.36–1.53) YLDs. DALYs were higher in urban (56%; 95% UI 56–57%) than rural areas (44%; 95% UI 43.4–43.6) and in men (64%) than women (36%). In absolute terms, the highest DALYs occurred in the 51–60-year-old age group (28%) but the highest DALYs per 100,000 persons were estimated for the 71–80 years old age group (5481; 95% UI 5464–5500 years). There were 4,815,908 (95% UI 4,760,908–4,924,307) DALYs after considering reported COVID-19 deaths only. The DALY estimations have direct and immediate implications not only for public policy in India, but also internationally given that India represents one sixth of the world’s population. |
format | Online Article Text |
id | pubmed-8844028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88440282022-02-16 Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 Singh, Balbir B. Devleesschauwer, Brecht Khatkar, Mehar S. Lowerison, Mark Singh, Baljit Dhand, Navneet K. Barkema, Herman W. Sci Rep Article COVID-19 has affected all countries. Its containment represents a unique challenge for India due to a large population (> 1.38 billion) across a wide range of population densities. Assessment of the COVID-19 disease burden is required to put the disease impact into context and support future pandemic policy development. Here, we present the national-level burden of COVID-19 in India in 2020 that accounts for differences across urban and rural regions and across age groups. Input data were collected from official records or published literature. The proportion of excess COVID-19 deaths was estimated using the Institute for Health Metrics and Evaluation, Washington data. Disability-adjusted life years (DALY) due to COVID-19 were estimated in the Indian population in 2020, comprised of years of life lost (YLL) and years lived with disability (YLD). YLL was estimated by multiplying the number of deaths due to COVID-19 by the residual standard life expectancy at the age of death due to the disease. YLD was calculated as a product of the number of incident cases of COVID-19, disease duration and disability weight. Scenario analyses were conducted to account for excess deaths not recorded in the official data and for reported COVID-19 deaths. The direct impact of COVID-19 in 2020 in India was responsible for 14,100,422 (95% uncertainty interval [UI] 14,030,129–14,213,231) DALYs, consisting of 99.2% (95% UI 98.47–99.64%) YLLs and 0.80% (95% UI 0.36–1.53) YLDs. DALYs were higher in urban (56%; 95% UI 56–57%) than rural areas (44%; 95% UI 43.4–43.6) and in men (64%) than women (36%). In absolute terms, the highest DALYs occurred in the 51–60-year-old age group (28%) but the highest DALYs per 100,000 persons were estimated for the 71–80 years old age group (5481; 95% UI 5464–5500 years). There were 4,815,908 (95% UI 4,760,908–4,924,307) DALYs after considering reported COVID-19 deaths only. The DALY estimations have direct and immediate implications not only for public policy in India, but also internationally given that India represents one sixth of the world’s population. Nature Publishing Group UK 2022-02-14 /pmc/articles/PMC8844028/ /pubmed/35165362 http://dx.doi.org/10.1038/s41598-022-06505-z Text en © The Author(s) 2022 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/) . |
spellingShingle | Article Singh, Balbir B. Devleesschauwer, Brecht Khatkar, Mehar S. Lowerison, Mark Singh, Baljit Dhand, Navneet K. Barkema, Herman W. Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 |
title | Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 |
title_full | Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 |
title_fullStr | Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 |
title_full_unstemmed | Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 |
title_short | Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020 |
title_sort | disability-adjusted life years (dalys) due to the direct health impact of covid-19 in india, 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844028/ https://www.ncbi.nlm.nih.gov/pubmed/35165362 http://dx.doi.org/10.1038/s41598-022-06505-z |
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