Evidence map›Paper›PMID 37450465›Full record

ArticlePLOS global public health2023

Excess mortality during the COVID-19 pandemic (2020-2021) in an urban community of Bangladesh.

Mohammad Sorowar Hossain, Jahidur Rahman Khan, S M Abdullah Al Mamun, Mohammad Tariqul Islam, Enayetur Raheem

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Mohammad Sorowar HossainDepartment of Emerging and Infectious Diseases, Biomedical Research Foundation, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-7143-2909
Jahidur Rahman KhanDepartment of Emerging and Infectious Diseases, Biomedical Research Foundation, Dhaka, Bangladesh.
S M Abdullah Al MamunDepartment of Emerging and Infectious Diseases, Biomedical Research Foundation, Dhaka, Bangladesh.
Mohammad Tariqul IslamJamalpur General Hospital, Jamalpur, Bangladesh.
Enayetur RaheemDepartment of Emerging and Infectious Diseases, Biomedical Research Foundation, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-8880-3649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring COVID-19-related mortality is vital for making public health policy decisions. The magnitude of COVID-19-related mortality is largely unknown in low- and middle-income countries (LMICs), including Bangladesh, due to inadequate COVID-19 testing capacity and a lack of robust civil registration and vital statistics systems. Even with the lack of data, cemetery-based death records in LMICs may provide insightful information on potential COVID-19-related mortality rates; nevertheless, there is a dearth of research employing cemetery-based death records. This study aimed to assess the excess mortality during the COVID-19 pandemic in an urban setting in Bangladesh using a cemetery-based death registration dataset. A total of 6,271 deaths recorded between January 2015 and December 2021 were analysed using a Bayesian structural time series model. Exploratory analysis found that the average monthly number of deaths was 69 during the pre-COVID-19 period (January 2015-February 2020), but significantly increased to 92 during the COVID-19 period (March 2020-December 2021). The increase in male deaths was twice as large as the increase in female deaths. Model-based results were not statistically significant (relative effect 17%, 95% credible interval: -18%, 57%), but there was an overall increasing trend during the COVID-19 period, and specific months or shorter periods had a substantial increase. This first-of-its-kind study in Bangladesh has assessed the excess mortality in an urban community during the COVID-19 pandemic. Cemetery-based death registration appears to aid in tracking population mortality, especially in resource-limited countries where collecting data on the ground is challenging during crisis periods; however, additional large-scale research is required.

Identifiers

PMID37450465
PMCPMC10348530

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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.