ArticleJMIR public health and surveillance2021
Population Health Surveillance Using Mobile Phone Surveys in Low- and Middle-Income Countries: Methodology and Sample Representativeness of a Cross-sectional Survey of Live Poultry Exposure in Bangladesh.
Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 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
- Feasibility and Validity of Mobile Phone-Based Proxy Full Pregnancy History (mPFPH) for Estimating Perinatal Mortality in Rural Northwest Bangladesh.Tropical medicine & international health : TM & IH · 2026Article
- Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework.Public opinion quarterly · 2026Review
- Interactive voice response surveys as a method for increasing the representativeness of rural respondents in a mortality mobile phone survey: Findings from Malawi.Tropical medicine & international health : TM & IH · 2025Article
- The World's consumption of free web-based Otolaryngology-Head and Neck Surgery educational resources: A global assessment of video usage trends.Laryngoscope investigative otolaryngology · 2024Article
- It's late, but not too late to transform health systems: a global digital citizen science observatory for local solutions to global problems.Frontiers in digital health · 2024Article
- Building a pathway to One Health surveillance and response in Asian countries.Science in One Health · 2024Review
- Assessment of Qol among COVID-19 Patients in South India: A Tertiary Care Center Study: An Original Research.Journal of pharmacy & bioallied sciences · 2023Article
- Developing Population Health Surveillance Using mHealth in Low-Resource Settings: Qualitative Assessment and Pilot Evaluation.JMIR formative research · 2022Article
- Frequency and patterns of exposure to live poultry and the potential risk of avian influenza transmission to humans in urban Bangladesh.Scientific reports · 2021Article
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10 authors.
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Abstract
backgroundPopulation-based health surveys are typically conducted using face-to-face household interviews in low- and middle-income countries (LMICs). However, telephone-based surveys are cheaper, faster, and can provide greater access to hard-to-reach or remote populations. The rapid growth in mobile phone ownership in LMICs provides a unique opportunity to implement novel data collection methods for population health surveys.
objectiveThis study aims to describe the development and population representativeness of a mobile phone survey measuring live poultry exposure in urban Bangladesh.
methodsA population-based, cross-sectional, mobile phone survey was conducted between September and November 2019 in North and South Dhaka City Corporations (DCC), Bangladesh, to measure live poultry exposure using a stratified probability sampling design. Data were collected using a computer-assisted telephone interview platform. The call operational data were summarized, and the participant data were weighted by age, sex, and education to the 2011 census. The demographic distribution of the weighted sample was compared with external sources to assess population representativeness.
resultsA total of 5486 unique mobile phone numbers were dialed, with 1047 respondents completing the survey. The survey had an overall response rate of 52.2% (1047/2006) and a co-operation rate of 89.0% (1047/1176). Initial results comparing the sociodemographic profile of the survey sample to the census population showed that mobile phone sampling slightly underrepresented older individuals and overrepresented those with higher secondary education. After weighting, the demographic profile of the sample population matched well with the latest DCC census population profile.
conclusionsProbability-based mobile phone survey sampling and data collection methods produced a population-representative sample with minimal adjustment in DCC, Bangladesh. Mobile phone-based surveys can offer an efficient, economic, and robust way to conduct surveillance for population health outcomes, which has important implications for improving population health surveillance in LMICs.
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