ArticlePLOS global public health2023
Excess mortality during the COVID-19 pandemic (2020-2021) in an urban community of Bangladesh.
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.
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Who cites it
8 citing papers in PubMed.
- Do Mobile Phone Surveys Supplement Other Mortality Surveillance Methods? Results From a National Study in Bangladesh.Tropical medicine & international health : TM & IH · 2026Article
- The impact of COVID-19 on mortality among diabetic and hypertensive individuals in coastal communities in Bangladesh: evidence from chakaria health and demographic surveillance system.Population health metrics · 2026Article
- Excess mortality and underlying causes of death during the COVID-19 pandemic in rural Bangladesh: insights from the Matlab health and demographic surveillance system.Population health metrics · 2026Article
- Paper-based death record-keeping in Bangladeshi cemeteries: a qualitative exploration of practices and expectations.Journal of global health · 2025Article
- Design, development and implementation of a digital burial record-keeping and management system in Bangladesh.Journal of global health · 2025Article
- Excess mortality during COVID-19 and prediction of mortality in Bangladesh: an analysis based on death records in urban graveyards.Journal of global health · 2025Article
- Review
- The impact of mass vaccination policy and control measures on lumpy skin disease cases in Thailand: insights from a Bayesian structural time series analysis.Frontiers in veterinary science · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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