Effectiveness of sexual health influencers identified by an ensemble machine learning model in promoting secondary distribution of HIV self-testing among men who have sex with men in China: study protocol for a quasi-experimental trial

Effectiveness of sexual health influencers identified by an ensemble machine learning model in promoting secondary distribution of HIV self-testing among men who have sex with men in China: study protocol for a quasi-experimental trial

Abstract Background HIV self-testing (HIVST), especially the secondary distribution of HIVST (SD-HIVST) initiated by sexual health influencers (SHIs), has been recognized as an effective strategy in promoting HIV testing, especially among men who have sex with men (MSM). This quasi-experimental stud...

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Bibliographic Details
Main Authors: Ying Lu, Yuxin Ni, Qianyun Wang, Fengshi Jing, Yi Zhou, Xi He, Shanzi Huang, Wencan Dai, Dan Wu, Joseph D. Tucker, Hongbo Jiang, Liqun Huang, Weiming Tang
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Public Health
Subjects:
Sexual health influencers
Ensemble machine learning
Secondary distribution
HIV self-testing
Men who have sex with men
China
Online Access:https://doi.org/10.1186/s12889-021-11817-2

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