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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

In China, Wu et al [15] adapted the SD-HIVST model into a social media–based existing HIVST service provided by a GBMSM-friendly community-led organization. Wu et al [15] also included components to improve test accuracy and result return rates. Building on the progress of Wu et al [15], Zhou et al [16] conducted a randomized trial with a modified model by providing monetary incentives to GBMSM index participants who motivated alters to upload their results to the web-based system.

Yuxin Ni, Ying Lu, Fengshi Jing, Qianyun Wang, Yewei Xie, Xi He, Dan Wu, Rayner Kay Jin Tan, Joseph D Tucker, Xumeng Yan, Jason J Ong, Qingpeng Zhang, Hongbo Jiang, Wencan Dai, Liqun Huang, Wenhua Mei, Yi Zhou, Weiming Tang

JMIR Public Health Surveill 2024;10:e50656

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