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

HIV/AIDS/STI Prevention and Care (1043) Registered Report (791) LGBTQ Issues (543) Online Dating, Sexual Health Behavior (191) Mass Media/Social Media Communication and Campaigns (574) Machine Learning (2076) Cross-Sectional Studies in Public Health (431)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50656, first published .
A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study

Authors of this article:

Yuxin Ni1, 2, 3 Author Orcid Image ;   Ying Lu2 Author Orcid Image ;   Fengshi Jing4, 5 Author Orcid Image ;   Qianyun Wang2, 6 Author Orcid Image ;   Yewei Xie2, 7 Author Orcid Image ;   Xi He8 Author Orcid Image ;   Dan Wu9 Author Orcid Image ;   Rayner Kay Jin Tan2, 10 Author Orcid Image ;   Joseph D Tucker2, 11, 12 Author Orcid Image ;   Xumeng Yan2, 13 Author Orcid Image ;   Jason J Ong11, 14 Author Orcid Image ;   Qingpeng Zhang15, 16 Author Orcid Image ;   Hongbo Jiang17 Author Orcid Image ;   Wencan Dai18 Author Orcid Image ;   Liqun Huang18 Author Orcid Image ;   Wenhua Mei18 Author Orcid Image ;   Yi Zhou18 Author Orcid Image ;   Weiming Tang1, 2 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

  1. Jaiteh M, Phalane E, Shiferaw Y, Voet K, Phaswana-Mafuya R. Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review. Algorithms 2024;17(8):362 View
  2. Beecroft A, Vaikla O, Engel N, Duchaine T, Liang C, Pant Pai N. Evidence on Digital HIV Self-Testing From Accuracy to Impact: Updated Systematic Review. Journal of Medical Internet Research 2025;27:e63110 View
  3. Wang Q, Lu Y, Ni Y, Yan X, Tan R, Wu D, Tucker J, Ong J, Tang W, Lim M. Using photovoice to explore HIV self-testing and secondary distribution of HIV self-testing among gay, bisexual and other men who have sex with men in China. Sexual Health 2025;22(3) View
  4. Jaiteh M, Phalane E, Shiferaw Y, Phaswana-Mafuya R. The status of machine learning in HIV testing in South Africa: a qualitative inquiry with stakeholders in Gauteng province. Frontiers in Digital Health 2025;7 View
  5. Lee C, Lin Y, Lee B, Kuo S, Lo S, Lu P. Gaps in the HIV self-testing cascade among people with HIV in Taiwan: Usage patterns, barriers, and public health implications. Journal of Infection and Public Health 2026;19(1):103029 View
  6. Li R, Zhou Y, Zhang Y, Wu D, Zhang X, Jing F, Fan J, He X, Tucker J, Tang W. Participants and Recipients in Social Network Distribution of HIV Self-Testing Kits Among Men Who Have Sex With Men in China. Sexually Transmitted Diseases 2025;52(12):720 View