Evidence map›Paper›PMID 34408053›Full record

ArticleBMJ open2021

Estimation of the economic burden of COVID-19 using disability-adjusted life years (DALYs) and productivity losses in Kerala, India: a model-based analysis.

Denny John, M S Narassima, Jaideep Menon, Jammy Guru Rajesh, Amitava Banerjee

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
9.6field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Paid and unpaid productivity losses across 28 European countries due to excess deaths and COVID-19 deaths from 2020 to 2023.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  6. Article
  7. Article
  8. 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
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  10. Review
  11. Economic burden due to COVID-19 in a Colombian Caribbean state, 2020 and 2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2024
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  19. Burden of severe COVID-19 in center of Iran: results of disability-adjusted life years (DALYs).International journal of molecular epidemiology and genetics · 2021
    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

5 authors at 4 institutions in 2 countries.

Denny JohnDepartment of Public Health, Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, India djohn1976@gmail.com.ORCID 0000-0002-4486-632X
M S NarassimaDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.ORCID 0000-0002-4113-430X
Jaideep MenonDepartment of Public Health, Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, India.
Jammy Guru RajeshSociety for Health Allied Research and Education India (SHARE INDIA), Telangana, India.
Amitava BanerjeeInstitute of Health Informatics, University College London, London, UK.ORCID 0000-0001-8741-3411
Amrita Institute of Medical Sciences and Research Centre · INAmrita Vishwa Vidyapeetham · INScience Health Allied Research Education · INUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFrom the beginning of the COVID-19 pandemic, clinical practice and research globally have centred on the prevention of transmission and treatment of the disease. The pandemic has had a huge impact on the economy and stressed healthcare systems worldwide. The present study estimates disability-adjusted life years (DALYs), years of potential productive life lost (YPPLL) and cost of productivity lost (CPL) due to premature mortality and absenteeism secondary to COVID-19 in the state of Kerala, India.

settingDetails on sociodemographics, incidence, death, quarantine, recovery time, etc were derived from public sources and the Collective for Open Data Distribution-Keralam. The working proportion for 5-year age-gender cohorts and the corresponding life expectancy were obtained from the 2011 Census of India. PRIMARY AND SECONDARY OUTCOME MEASURES: The impact of the disease was computed through model-based analysis on various age-gender cohorts. Sensitivity analysis was conducted by adjusting six variables across 21 scenarios. We present two estimates, one until 15 November 2020 and later updated to 10 June 2021.

resultsSeverity of infection and mortality were higher among the older cohorts, with men being more susceptible than women in most subgroups. DALYs for males and females were 15 954.5 and 8638.4 until 15 November 2020, and 83 853.0 and 56 628.3 until 10 June 2021. The corresponding YPPLL were 1323.57 and 612.31 until 15 November 2020, and 6993.04 and 3811.57 until 10 June 2021, and the CPL (premature mortality) were 263 780 579.94 and 41 836 001.82 until 15 November 2020, and 1 419 557 903.76 and 278 275 495.29 until 10 June 2021.

conclusionsMost of the COVID-19 burden was contributed by years of life lost. Losses due to YPPLL were reduced as the impact of COVID-19 infection was lesser among the productive cohorts. The CPL values for individuals aged 40-49 years old were the highest. These estimates provide the data necessary for policymakers to work on reducing the economic burden of COVID-19 in Kerala.

Indexed as

COVID-19PandemicsAdultCost of IllnessFemaleHumansIndiaLife ExpectancyMaleMiddle AgedQuality-Adjusted Life YearsSARS-CoV-2COVID-19health economicshealth policy

Identifiers

PMID34408053
PMCPMC8375445
OpenAlexW3194282444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.