Published on in Vol 5, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19243, first published .
Attitudes Toward a Proposed GPS-Based Location Tracking Smartphone App for Improving Engagement in HIV Care Among Pregnant and Postpartum Women in South Africa: Focus Group and Interview Study

Attitudes Toward a Proposed GPS-Based Location Tracking Smartphone App for Improving Engagement in HIV Care Among Pregnant and Postpartum Women in South Africa: Focus Group and Interview Study

Attitudes Toward a Proposed GPS-Based Location Tracking Smartphone App for Improving Engagement in HIV Care Among Pregnant and Postpartum Women in South Africa: Focus Group and Interview Study

Journals

  1. Molenaar L, Hierink F, Brun M, Monet J, Ray N. Travel scenario workshops for geographical accessibility modeling of health services: A transdisciplinary evaluation study. Frontiers in Public Health 2023;10 View
  2. Clouse K, Noholoza S, Ngcobo N, Madwayi S, Mrubata M, Camlin C, Myer L, Phillips T. Cohort profile: CareConekta: a pilot study of a smartphone application to improve engagement in postpartum HIV care in South Africa. BMJ Open 2022;12(11):e064946 View
  3. Garett R, Young S. Geolocation, ethics, and HIV research. Health and Technology 2021;11(6):1305 View
  4. Thorp M, Ayieko J, Hoffman R, Balakasi K, Camlin C, Dovel K. Mobility and HIV care engagement: a research agenda. Journal of the International AIDS Society 2023;26(3) View
  5. Clouse K, Noholoza S, Madwayi S, Mrubata M, Camlin C, Myer L, Phillips T. The Implementation of a GPS-Based Location-Tracking Smartphone App in South Africa to Improve Engagement in HIV Care: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e44945 View
  6. Nanyonjo G, Kwena Z, Nakamanya S, Okello E, Oketch B, Bahemuka U, Ssetaala A, Okech B, Price M, Kapiga S, Fast P, Bukusi E, Seeley J, Naanyu V. Finding women in fishing communities around Lake Victoria: “Feasibility and acceptability of using phones and tracking devices”. PLOS ONE 2024;19(1):e0290634 View

Books/Policy Documents

  1. Rosa L, Silva F, Analide C. Intelligent Data Engineering and Automated Learning – IDEAL 2021. View