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

Non-Randomized Study Protocols and Methods (Non-eHealth) (683) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) HIV/AIDS/STI Prevention and Care (1043) Big Data (307)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63583, first published .
Harnessing Big Heterogeneous Data to Evaluate the Potential Impact of HIV Responses Among Key Populations in Sub-Saharan Africa: Protocol for the Boloka Data Repository Initiative

Harnessing Big Heterogeneous Data to Evaluate the Potential Impact of HIV Responses Among Key Populations in Sub-Saharan Africa: Protocol for the Boloka Data Repository Initiative

Harnessing Big Heterogeneous Data to Evaluate the Potential Impact of HIV Responses Among Key Populations in Sub-Saharan Africa: Protocol for the Boloka Data Repository Initiative

Authors of this article:

Refilwe Nancy Phaswana Mafuya1, 2 Author Orcid Image ;   Edith Phalane1 Author Orcid Image ;   Amrita Rao3 Author Orcid Image ;   Kalai Willis3 Author Orcid Image ;   Katherine Rucinski3 Author Orcid Image ;   K Alida Voet3 Author Orcid Image ;   Amal Abdulrahman3 Author Orcid Image ;   Claris Siyamayambo1 Author Orcid Image ;   Betty Sebati1 Author Orcid Image ;   Mohlago Seloka1 Author Orcid Image ;   Musa Jaiteh1 Author Orcid Image ;   Lerato Lucia Olifant1 Author Orcid Image ;   Katharine Journeay3 Author Orcid Image ;   Haley Sisel3 Author Orcid Image ;   Xiaoming Li4 Author Orcid Image ;   Bankole Olatosi4 Author Orcid Image ;   Neset Hikmet5 Author Orcid Image ;   Prashant Duhoon5 Author Orcid Image ;   Francois Wolmarans6 Author Orcid Image ;   Yegnanew A Shiferaw7 Author Orcid Image ;   Lifutso Motsieloa8 Author Orcid Image ;   Mashudu Rampilo8 Author Orcid Image ;   Stefan Baral3 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

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