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    • The Limitations of Mobile Phone Data for Measuring Movement Patterns of Populations at Risk of Malaria

    Greta Tam,Ipsita Sinha,Kulchada Pongsoipetch, Keobouphaphone Chindavongsa,Mayfong Mayxay, Sonexay Phalivong,Benjamin J. Cowling,Olivo Miotto, Supaporn Mahaphontrakoon, Saiamphone Xayvanghang,Richard J. Maude

    Malaria Journal（2025）

    Mahidol University

    Cited 0|Views0
    Abstract
    As global mobile phone adoption increases, mobile phone data has been increasingly used to measure movement patterns of populations at risk of malaria. However, the representativeness of mobile phone data for populations at risk of malaria has not been assessed. This study aimed to assess this representativeness using prospectively collected data on mobile phone ownership and use from malaria patients in Lao PDR. A prospective observational study was conducted from 2017 to 2021. 6320 patients with confirmed malaria in 107 health facilities in the five southernmost provinces of Lao PDR were surveyed regarding their demographics, mobile phone ownership and use. Data on the demographics of mobile phone owners and users in the general population of Lao PDR were obtained from the 2017 Lao Social Indicator Survey II, which was a nationally representative survey sample. Descriptive analysis was performed, and logistic regression with weights on aggregate data was used to compare the demographic distribution of mobile phone ownership and use in malaria patients with that in the general population. Most patients with malaria (76
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    Key words
    Malaria,Mobility,Movement,Risk,Ownership,Usage
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