Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64829, first published .
Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024

Musa Jaiteh   1 * , MSc ;   Edith Phalane   1 * , PhD ;   Yegnanew A Shiferaw   2 * , PhD ;   Lateef Babatunde Amusa   3, 4 * , PhD ;   Hossana Twinomurinzi   3 * , PhD ;   Refilwe Nancy Phaswana-Mafuya   1 * , PhD

1 South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa

2 Department of Statistics, Faculty of Science, University of Johannesburg, Johannesburg, South Africa

3 Center of Applied Data Science, University of Johannesburg, Johannesburg, South Africa

4 Department of Statistics, University of Ilorin, Ilorin, Nigeria

*all authors contributed equally

Corresponding Author:

  • Refilwe Nancy Phaswana-Mafuya, PhD
  • South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences
  • University of Johannesburg
  • Auckland Park Bunting Road Campus, PO Box 524, Auckland Park
  • Johannesburg 2006
  • South Africa
  • Phone: 27 632376425
  • Fax: 27 115591496
  • Email: refilwep@uj.ac.za