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

• Main Authors: Yuxin Ni (Author), Ying Lu (Author), Fengshi Jing (Author), Qianyun Wang (Author), Yewei Xie (Author), Xi He (Author), Dan Wu (Author), Rayner Kay Jin Tan (Author), Joseph D Tucker (Author), Xumeng Yan (Author), Jason J Ong (Author), Qingpeng Zhang (Author), Hongbo Jiang (Author), Wencan Dai (Author), Liqun Huang (Author), Wenhua Mei (Author), Yi Zhou (Author), Weiming Tang (Author)
• Format: Book
• Published: JMIR Publications, 2024-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundSexual health influencers (SHIs) are individuals actively sharing sexual health information with their peers, and they play an important role in promoting HIV care services, including the secondary distribution of HIV self-testing (SD-HIVST). Previous studies used a 6-item empirical leader...