This paper is in the following e-collection/theme issue:

Proposals (eHealth) (86) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) HIV/AIDS/STI Prevention and Care (1043) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Machine Learning (2074)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59916, first published .
The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis

The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis

The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis

Authors of this article:

Musa Jaiteh1 Author Orcid Image ;   Edith Phalane1 Author Orcid Image ;   Yegnanew A Shiferaw2 Author Orcid Image ;   Refilwe Nancy Phaswana-Mafuya1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics Author Video

Journals

  1. Jaiteh M, Phalane E, Shiferaw Y, Jallow H, Phaswana-Mafuya R. The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Model. Tropical Medicine and Infectious Disease 2025;10(6):167 View
  2. Mengistu A, Chowdhury R. Understanding the determinants of treated bed net use in Ethiopia: A machine learning classification approach using PMA Ethiopia 2023 survey data. PLOS One 2025;20(7):e0327800 View
  3. Terefe B, Mengistu A, Gedefaw A, Taye E, Kebede F, Sani J, Baykemagn N, Yehuala T, Worku A. Machine learning to examine adequate awareness and positive perception of HIV pre-exposure prophylaxis among women in sub-Saharan Africa: evidence from 2021-2024 surveys. BMC Infectious Diseases 2025;25(1) View