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

• Hauptverfasser: Ying Lu (VerfasserIn), Yuxin Ni (VerfasserIn), Qianyun Wang (VerfasserIn), Fengshi Jing (VerfasserIn), Yi Zhou (VerfasserIn), Xi He (VerfasserIn), Shanzi Huang (VerfasserIn), Wencan Dai (VerfasserIn), Dan Wu (VerfasserIn), Joseph D. Tucker (VerfasserIn), Hongbo Jiang (VerfasserIn), Liqun Huang (VerfasserIn), Weiming Tang (VerfasserIn)
• Format: Buch
• Veröffentlicht: BMC, 2021-09-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

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...