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

Thulile Mathenjwa   ^{1, 2} , MA ;   Elphas Luchemo Okango   ¹ , PhD ;   Khai Hoan Tram   ³ , MD ;   Maxime Inghels   ^{4, 5} , PhD ;   Diego Cuadros   ⁶ , PhD ;   Hae-Young Kim   ⁷ , PhD ;   Fiona Walsh   ⁸ , MPH ;   Till Barnighausen   ^{1, 8} , PhD ;   Adrian Dobra   ^{9 *} , PhD ;   Frank Tanser   ^{1, 10, 11 *} , PhD

¹ Africa Health Research Institute, Durban, South Africa

² Faculty of Health Sciences, School of Public Health, Division of Epidemiology & Biostatistics, University of Cape Town, Cape Town, South Africa

³ Department of Medicine, University of Washington, Washington, WA, United States

⁴ Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom

⁵ Centre Régional de Recherche et de Formation à la Prise en Charge Clinique de Fann, Hôpital Fann, Dakar, Senegal

⁶ Digital Epidemiology Laboratory, University of Cincinnati, Cincinnati, OH, United States

⁷ Department of Population Health, New York University School of Medicine, New York, NY, United States

⁸ Medical Faculty and University Hospital, Heildelberg University, Heidelberg Institute of Global Health, Heidelberg, Germany

⁹ Department of Statistics, University of Washington, Washington, WA, United States

¹⁰ Centre for Epidemic Response and Innovation, School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa

¹¹ South African Centre for Epidemiological Modelling and Analysis (SACEMA), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa

*these authors contributed equally