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

• Главные авторы: Yuxin Ni (Автор), Ying Lu (Автор), Fengshi Jing (Автор), Qianyun Wang (Автор), Yewei Xie (Автор), Xi He (Автор), Dan Wu (Автор), Rayner Kay Jin Tan (Автор), Joseph D Tucker (Автор), Xumeng Yan (Автор), Jason J Ong (Автор), Qingpeng Zhang (Автор), Hongbo Jiang (Автор), Wencan Dai (Автор), Liqun Huang (Автор), Wenhua Mei (Автор), Yi Zhou (Автор), Weiming Tang (Автор)
• Формат: ‌
• Опубликовано: JMIR Publications, 2024-04-01T00:00:00Z.
• Предметы: article
• Online-ссылка: 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...