Evidence map›Paper›PMID 35165362›Full record

ArticleScientific reports2022

Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020.

Balbir B Singh, Brecht Devleesschauwer, Mehar S Khatkar, Mark Lowerison, Baljit Singh, Navneet K Dhand, Herman W Barkema

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. COVID-19 burden in Iran: disability-adjusted life years analysis from hospital data, 2020-2021.Archives of public health = Archives belges de sante publique · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Disability-Adjusted Life-Years for Drug Overdose Crisis and COVID-19 Are Comparable During the Two Years of Pandemic in the United States.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. COVID and Gender: A Narrative Review of the Asia-Pacific Region.International journal of environmental research and public health · 2022
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Balbir B SinghCentre for One Health, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, 141004, India. bbsdhaliwal@gmail.com.ORCID 0000-0002-6823-6146
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, 1050, Brussels, Belgium.ORCID 0000-0002-2867-6892
Mehar S KhatkarSydney School of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570 NSW, Australia.ORCID 0000-0002-4554-1404
Mark LowerisonDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
Baljit SinghDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
Navneet K DhandSydney School of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570 NSW, Australia.ORCID 0000-0002-4362-3596
Herman W BarkemaDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.ORCID 0000-0002-9678-8378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Disability-Adjusted Life YearsQuality-Adjusted Life YearsAdolescentAdultAgedAged, 80 and overChildCOVID-19FemaleHumansIndiaMaleMiddle AgedPandemicsPublic HealthRural Population

Identifiers

PMID35165362
PMCPMC8844028

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.