tetano
Editor, Senior Moderator
Popul Health Metr
. 2026 Mar 19;23(Suppl 2):77.
doi: 10.1186/s12963-025-00447-0.
Excess mortality and underlying causes of death during the COVID-19 pandemic in rural Bangladesh: insights from the Matlab health and demographic surveillance system
Sayed Saidul Alam[SUP] 1 [/SUP], Nur E Jannat Amee[SUP] 2 [/SUP], Srizan Chowdhury[SUP] 2 [/SUP], Md Mehedi Hasan[SUP] 2 [/SUP], Chodziwadziwa Whiteson Kabudula[SUP] 3 [/SUP], Jean Juste Harrisson Bashingwa[SUP] 3 [/SUP], Md Sharoardy Sagar[SUP] 2 [/SUP], Munirul Alam Bhuiyan[SUP] 2 [/SUP], M Zahirul Haq[SUP] 2 [/SUP], Beth A Tippett Barr[SUP] 4 [/SUP], Stephen Tollman[SUP] 3 [/SUP], Syed Manzoor Ahmed Hanifi[SUP] 2 [/SUP]
Affiliations
Background: Bangladesh, home to 165 million people, reported its first COVID-19 case in March 2020. This prompted a range of public health measures to control the epidemic. However, limited access to COVID-19 testing and incomplete or inaccurate death registration likely obscured the pandemic's true impact. We use longitudinal data from the Matlab Health and Demographic Surveillance System (HDSS) in Bangladesh to assess excess mortality and underlying causes of death during the COVID-19 pandemic.
Methods: We analysed mortality among 299,775 individuals residing within the Matlab HDSS catchment area between January 1, 2018 and December 31, 2021. Crude mortality rates were compared between the Pre-COVID-19 (2018-2019) and COVID-19 (2020-2021) periods. Adjusted sub-distribution hazard ratios (SHR) were estimated using the Fine and Gray competing risk model. Causes of death were determined using the WHO 2016 Verbal Autopsy questionnaire with supplementary COVID-19 module. We assessed changes in the distribution of causes of death and calculated cause-specific mortality rates by period and sex.
Results: Crude mortality rate increased to from 7.4 deaths per 1000 person-years in 2018-2019 (pre-COVID-19 period) to 8.5 deaths per 1000 person-years during the COVID-19 period (2020-2021). Among individuals aged 60 years and above, the COVID-19-related mortality rate was 3.5 deaths per 1000 person-years during the COVID-19 period. Overall mortality rate increased from 44.1 (95% CI: 42.4-45.9) deaths to 50.9 (95% CI: 49.1-52.7) deaths per 1000 person-years, corresponding to an adjusted SHR of 1.19 (95% CI: 1.12-1.25). Compared with the Pre-COVID-19 period, mortality attributable to non-communicable diseases (NCDs) increased by 11% (mortality rate ratio (MRR): 1.11; 95% CI: 1.04-1.18), while mortality from respiratory diseases increased by 82% (MRR: 1.82; 95% CI: 1.24-2.73) during the COVID-19 period.
Conclusion: During the COVID-19 period, mortality increased in rural Bangladesh, with the sharpest increase observed among older adults with noncommunicable and respiratory diseases. Future pandemic preparedness efforts should prioritise these high-risk subgroups to reduce adverse health outcomes and mortality.
Keywords: Bangladesh; COVID-19; Elderly; HDSS; Matlab; Mortality.
. 2026 Mar 19;23(Suppl 2):77.
doi: 10.1186/s12963-025-00447-0.
Excess mortality and underlying causes of death during the COVID-19 pandemic in rural Bangladesh: insights from the Matlab health and demographic surveillance system
Sayed Saidul Alam[SUP] 1 [/SUP], Nur E Jannat Amee[SUP] 2 [/SUP], Srizan Chowdhury[SUP] 2 [/SUP], Md Mehedi Hasan[SUP] 2 [/SUP], Chodziwadziwa Whiteson Kabudula[SUP] 3 [/SUP], Jean Juste Harrisson Bashingwa[SUP] 3 [/SUP], Md Sharoardy Sagar[SUP] 2 [/SUP], Munirul Alam Bhuiyan[SUP] 2 [/SUP], M Zahirul Haq[SUP] 2 [/SUP], Beth A Tippett Barr[SUP] 4 [/SUP], Stephen Tollman[SUP] 3 [/SUP], Syed Manzoor Ahmed Hanifi[SUP] 2 [/SUP]
Affiliations
- PMID: 41857741
- PMCID: PMC13003680
- DOI: 10.1186/s12963-025-00447-0
Background: Bangladesh, home to 165 million people, reported its first COVID-19 case in March 2020. This prompted a range of public health measures to control the epidemic. However, limited access to COVID-19 testing and incomplete or inaccurate death registration likely obscured the pandemic's true impact. We use longitudinal data from the Matlab Health and Demographic Surveillance System (HDSS) in Bangladesh to assess excess mortality and underlying causes of death during the COVID-19 pandemic.
Methods: We analysed mortality among 299,775 individuals residing within the Matlab HDSS catchment area between January 1, 2018 and December 31, 2021. Crude mortality rates were compared between the Pre-COVID-19 (2018-2019) and COVID-19 (2020-2021) periods. Adjusted sub-distribution hazard ratios (SHR) were estimated using the Fine and Gray competing risk model. Causes of death were determined using the WHO 2016 Verbal Autopsy questionnaire with supplementary COVID-19 module. We assessed changes in the distribution of causes of death and calculated cause-specific mortality rates by period and sex.
Results: Crude mortality rate increased to from 7.4 deaths per 1000 person-years in 2018-2019 (pre-COVID-19 period) to 8.5 deaths per 1000 person-years during the COVID-19 period (2020-2021). Among individuals aged 60 years and above, the COVID-19-related mortality rate was 3.5 deaths per 1000 person-years during the COVID-19 period. Overall mortality rate increased from 44.1 (95% CI: 42.4-45.9) deaths to 50.9 (95% CI: 49.1-52.7) deaths per 1000 person-years, corresponding to an adjusted SHR of 1.19 (95% CI: 1.12-1.25). Compared with the Pre-COVID-19 period, mortality attributable to non-communicable diseases (NCDs) increased by 11% (mortality rate ratio (MRR): 1.11; 95% CI: 1.04-1.18), while mortality from respiratory diseases increased by 82% (MRR: 1.82; 95% CI: 1.24-2.73) during the COVID-19 period.
Conclusion: During the COVID-19 period, mortality increased in rural Bangladesh, with the sharpest increase observed among older adults with noncommunicable and respiratory diseases. Future pandemic preparedness efforts should prioritise these high-risk subgroups to reduce adverse health outcomes and mortality.
Keywords: Bangladesh; COVID-19; Elderly; HDSS; Matlab; Mortality.