ArticleJournal of global health2025
Excess mortality during COVID-19 and prediction of mortality in Bangladesh: an analysis based on death records in urban graveyards.
Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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Who cites it
4 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
- Assessing the feasibility and appropriateness of verbal autopsy using contact information of the deceased from burial records in urban Bangladesh.Journal of global health · 2026Article
- Using DHIS2 routine data for health system preparedness in resource-limited settings: A Bayesian predictive approach in Bangladesh.PLOS global public health · 2026Article
- Assessing the impact of COVID-19 pandemic on all-cause mortality and child mortality in a population cohort of Iganga Mayuge HDSS in Eastern Uganda (2015-2021).Population health metrics · 2025Article
Corrections and comments
- Erratum issued
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22 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: The COVID-19 pandemic significantly impacted global mortality, underscoring the need for reliable data to guide public health policy. In low- and middle-income countries, graveyard-based death records can offer valuable insights into COVID-19-related mortality, yet they remain limited. Additionally, data on mortality beyond the pandemic remains scarce as we approach the 2030 Sustainable Development Goals. We addressed this gap by using graveyard-based data to assess excess mortality during the pandemic (2020-23) and predict mortality trends through 2030. Methods: We analysed 70 585 deaths from six graveyards in Dhaka, Bangladesh, from January 2001 to December 2023. The data was divided into pre-COVID-19 (2001-19), peak-COVID-19 (2020-21), and end-of-COVID-19 (2022-23) phases. We assessed the excess mortality using the P-score and Bayesian approach. We estimated excess mortality with a log-linear Bayesian model and predicted death trends for 2024-30, reporting incidence rate ratio (IRR) with 95% credible intervals (CrI). Results: Overall, excess mortality was 69% greater in 2020 and 31% in 2023 compared to the 2018-19 average. The IRR for deaths during peak-COVID-19 was 1.66 times higher than pre-COVID-19 (95% CrI = 1.35-2.04). Neonates had significantly higher IRRs during both the peak (IRR = 1.45; 95% CrI = 1.02-2.05) and end-of-COVID-19 (IRR = 1.67; 95% CrI = 1.02-2.71). Individuals aged >40 years showed a significantly higher IRR during peak-COVID-19 (IRR = 1.79; 95% CrI = 1.46-2.18). Predictions using data between 2001-23 indicate rising mortality, with the number of adult deaths increasing from 3318 in 2023 to 5089 (95% CrI = 3871-6267) by 2030. Conclusions: We revealed a significant rise in mortality during the pandemic, with elevated death rates persisting at the end of the pandemic. Predictions indicate continued mortality increases through 2030, underscoring the pandemic's long-term health impacts. While further research is needed, these findings highlight the value of graveyard-based death registration data for tracking mortality trends and informing public health strategies.
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