Leveraging Smartphone Mobility Data to Understand HIV Risk Among Rural South African Young Adults: Feasibility Study

This study demonstrates that the use of smartphone-based GPS technology is feasible among young adults in a rural South African setting. Although only 28.4% (95.3/336) of expected weekly location data were collected, the study offers insights into engagement strategies that can be used to enhance location data collection in similar contexts. Continuous troubleshooting identified challenges and informed solutions to data collection gaps. Reverse billing system and gamification resulted in significant increases in location data received. These findings underscore the potential of integrating mobile health tools into health systems to better support high-risk mobile populations.

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Publication Details

Journal
JMIR mhealth and uhealth
Published
2025-06-06
DOI
https://doi.org/10.2196/67519
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Smartphone Mobility Data to Understand HIV Risk Among Rural South African Young Adults: Feasibility Study

Till Bärnighausen, Adrian Dobra, Maxime Inghels, Khai Hoan Tram et al.
JMIR mhealth and uhealth
HIV/AIDS Research and Interventions
article

Leveraging Smartphone Mobility Data to Understand HIV Risk Among Rural South African Young Adults: Feasibility Study

Till Bärnighausen, Adrian Dobra, Maxime Inghels, Khai Hoan Tram, Fiona Walsh, Frank Tanser, Thulile Mathenjwa, Elphas Okango, Hae‐Young Kim, Diego F. Cuadros
article en

Abstract

This study demonstrates that the use of smartphone-based GPS technology is feasible among young adults in a rural South African setting. Although only 28.4% (95.3/336) of expected weekly location data were collected, the study offers insights into engagement strategies that can be used to enhance location data collection in similar contexts. Continuous troubleshooting identified challenges and informed solutions to data collection gaps. Reverse billing system and gamification resulted in significant increases in location data received. These findings underscore the potential of integrating mobile health tools into health systems to better support high-risk mobile populations.

JMIR mhealth and uhealthVol. 13
University of Cape Town (ZA), University of Washington (US), Heidelberg University (DE), Stellenbosch University (ZA), University Hospital Heidelberg (DE), Africa Health Research Institute (ZA), Centre Hospitalier National Universitaire de Fann (SN), University of Lincoln (GB), New York University (US), University of Cincinnati (US)
Openalex Percentile: Top 84%
HIV/AIDS Research and Interventions
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Leveraging Smartphone Mobility Data to Understand HIV Risk Among Rural South African Young Adults: Feasibility Study — Till Bärnighausen, Adrian Dobra, et al. · JMIR mhealth and uhealth (2025) | TGRS Research Map | TGRS