Evidence map›Paper›PMID 38150465›Full record

ArticlePLOS global public health2023

Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021.

Ritoban Kundu, Jyotishka Datta, Debashree Ray, Swapnil Mishra, Rupam Bhattacharyya, Lauren Zimmermann, Bhramar Mukherjee

Abstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Mpox awareness and vaccination willingness among a household cohort in Matlab, Bangladesh.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025
    Article
  2. 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.

Ritoban KunduDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0003-0967-6755
Jyotishka DattaDepartment of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.ORCID https://orcid.org/0000-0001-5991-5182
Debashree RayDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Swapnil MishraSchool of Public Health National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-8759-5902
Rupam BhattacharyyaDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0003-4292-2372
Lauren ZimmermannDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0003-2743-9905
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.

Funding

MI-CARES: The Michigan Cancer and Research on the Environment StudyUH3CA267907 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy, Bhramar Mukherjee · 2024 to 2026
$6.0M
MI-CARES: The Michigan Cancer and Research on the Environment StudyUG3CA267907 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOLINOY, DANA, MUKHERJEE, BHRAMAR · 2021 to 2022
$2.2M
NCI NIH HHS UG3 CA267907NCI NIH HHS UH3 CA267907
6 · The paper itself

Abstract

There has been raging discussion and debate around the quality of COVID death data in South Asia. According to WHO, of the 5.5 million reported COVID-19 deaths from 2020-2021, 0.57 million (10%) were contributed by five low and middle income countries (LMIC) countries in the Global South: India, Pakistan, Bangladesh, Sri Lanka and Nepal. However, a number of excess death estimates show that the actual death toll from COVID-19 is significantly higher than the reported number of deaths. For example, the IHME and WHO both project around 14.9 million total deaths, of which 4.5-5.5 million were attributed to these five countries in 2020-2021. We focus our gaze on the COVID-19 performance of these five countries where 23.5% of the world population lives in 2020 and 2021, via a counterfactual lens and ask, to what extent the mortality of one LMIC would have been affected if it adopted the pandemic policies of another, similar country? We use a Bayesian semi-mechanistic model developed by Mishra et al. (2021) to compare both the reported and estimated total death tolls by permuting the time-varying reproduction number (Rt) across these countries over a similar time period. Our analysis shows that, in the first half of 2021, mortality in India in terms of reported deaths could have been reduced to 96 and 102 deaths per million compared to actual 170 reported deaths per million had it adopted the policies of Nepal and Pakistan respectively. In terms of total deaths, India could have averted 481 and 466 deaths per million had it adopted the policies of Bangladesh and Pakistan. On the other hand, India had a lower number of reported COVID-19 deaths per million (48 deaths per million) and a lower estimated total deaths per million (80 deaths per million) in the second half of 2021, and LMICs other than Pakistan would have lower reported mortality had they followed India's strategy. The gap between the reported and estimated total deaths highlights the varying level and extent of under-reporting of deaths across the subcontinent, and that model estimates are contingent on accuracy of the death data. Our analysis shows the importance of timely public health intervention and vaccines for lowering mortality and the need for better coverage infrastructure for the death registration system in LMICs.

Identifiers

PMID38150465
PMCPMC10752546

What Socratic holds

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LicenceCC BY
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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 Socratic graph.