Evidence map›Paper›PMID 42322027›Full record

ArticleTropical medicine & international health : TM & IH2026

Do Mobile Phone Surveys Supplement Other Mortality Surveillance Methods? Results From a National Study in Bangladesh.

Aashish Gupta, Gulam Muhammed Al Kibria, Tahsin Shahrin Khan, Chandra Nirod Saha, Farzana Islam Khan, Alain Labrique, Tahmina Shirin, Mohan Diwakar, Georges Reniers, Iqbal Ansary Khan and 2 more

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Article in Tropical medicine & international health : TM & IH, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

12 authors.

Aashish GuptaDivision of Social Science, New York University - Abu Dhabi, Abu Dhabi, UAE.
Gulam Muhammed Al KibriaNational Institute on Aging, Bethesda, Maryland, USA.
Tahsin Shahrin KhanInstitute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh.
Chandra Nirod SahaInstitute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh.
Farzana Islam KhanInstitute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh.
Alain LabriqueWorld Health Organization, Department of Digital Health and Innovation, Geneva, Switzerland.
Tahmina ShirinInstitute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5061-3783
Mohan DiwakarJohns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA.
Georges ReniersLondon School of Hygiene and Tropical Medicine, Department of Population Health, London, UK.ORCID https://orcid.org/0000-0001-6582-1692
Iqbal Ansary KhanInstitute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh.
Dustin G GibsonJohns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, USA.
Stephane HelleringerDivision of Social Science, New York University - Abu Dhabi, Abu Dhabi, UAE.

Funding

Bill and Melinda Gates Foundation INV-023211Gates Foundation INV-023211
6 · The paper itself

Abstract

objectivesTo test whether mobile phone surveys conducted remotely might generate data on deaths that are not covered by mortality surveillance systems established in laboratories and health facilities, or in institutions involved in the post-mortem management of corpses (e.g., morgues, cemeteries).

methodsWe conducted a national survey of mobile phone users in Bangladesh during the COVID-19 pandemic. Respondents were asked to list the deaths that had occurred in their household in recent years. For each death, they were also asked to indicate whether the deceased had been diagnosed with COVID-19 prior to death, whether the death occurred at home or at a health facility, and where the burial took place. Using these data, we represented the overlap between data generated by the mobile phone survey and several potential mortality surveillance systems, which focus on counting deaths in health facilities or communal cemeteries. We described the socio-demographic characteristics of the deaths that were uniquely recorded by the mobile phone survey.

resultsFrom December 2021 to July 2022, 506,659 calls were placed, resulting in 22,731 interviews completed by mobile phone. Respondents reported 1527 deaths that had occurred in their household since 2020. Among those deaths, 99 (6.5%) had received a pre-mortem diagnosis of COVID-19. The proportion of reported deaths that were not covered by other potential mortality surveillance systems, was 32.4% in the large city corporations of Dhaka and Chittagong, 36.3% in other urban areas and 49.6% in rural areas. In urban areas, deaths among men, as well as among youth and the elderly, were more likely to be covered solely by the mobile phone survey.

conclusionMobile phone surveys can potentially remedy gaps in the data generated by other recommended mortality surveillance methods.

Indexed as

Cell PhoneCOVID-19Population SurveillanceAdolescentAdultAgedBangladeshChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesBangladeshCOVID‐19epidemicsmobile phonesmortalitysurveillancesurveys

Identifiers

PMID42322027
PMCPMC13628422

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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.