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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.

Isha BerryPunam MangtaniMahmudur RahmanIqbal Ansary KhanSudipta SarkarTanzila NaureenAmy L GreerShaun K MorrisDavid N FismanMeerjady Sabrina Flora
Published in: JMIR public health and surveillance (2021)
Probability-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.
Keyphrases
  • cross sectional
  • public health
  • machine learning