Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37719, first published .
Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach

Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach

Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach

Fengshi Jing   1, 2, 3, 4 * , PhD ;   Yang Ye   4, 5 * , PhD ;   Yi Zhou   6 * , DPH ;   Yuxin Ni   3, 7 , MPH ;   Xumeng Yan   3, 8 , MA ;   Ying Lu   3 , MA ;   Jason Ong   9, 10 , PhD ;   Joseph D Tucker   3, 9, 11 , PhD ;   Dan Wu   3, 12 , PhD ;   Yuan Xiong   3, 13 , MSW ;   Chen Xu   3 , MPH ;   Xi He   14 , BEng ;   Shanzi Huang   6 , MD ;   Xiaofeng Li   6 , MD ;   Hongbo Jiang   15 , PhD ;   Cheng Wang   16 , PhD ;   Wencan Dai   6 , MD ;   Liqun Huang   6 , MD ;   Wenhua Mei   6 , MD ;   Weibin Cheng   1, 4 , PhD ;   Qingpeng Zhang   17 * , PhD ;   Weiming Tang   1, 3, 11 * , MD, PhD

1 Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China

2 Faculty of Data Science, City University of Macau, Macao Special Administrative Region, China

3 University of North Carolina at Chapel Hill Project-China, Guangzhou, China

4 School of Data Science, City University of Hong Kong, Hong Kong Special Administrative Region, China

5 Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, Yale University, New Haven, CT, United States

6 Department of HIV Prevention, Zhuhai Center for Diseases Control and Prevention, Zhuhai, China

7 School of Public Health, Boston University, Boston, MA, United States

8 Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States

9 London School of Hygiene and Tropical Medicine, London, United Kingdom

10 Melbourne Sexual Health Centre, Melbourne, Australia

11 Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

12 School of Public Health, Nanjing Medical University, Nanjing, China

13 School of Social Work, Michigan State University, East Lansing, MI, United States

14 Zhuhai Xutong Voluntary Services Center, Zhuhai, China

15 Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China

16 Dermatology Hospital of Southern Medical University, Guangzhou, China

17 Institute of Data Science and Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administrative Region, China

*these authors contributed equally

Corresponding Author:

  • Weiming Tang, MD, PhD
  • Institute for Healthcare Artificial Intelligence Application
  • Guangdong Second Provincial General Hospital
  • 466 Xingangzhong Road
  • Guangzhou, 510317
  • China
  • Phone: 86 15920567132
  • Email: weiming_tang@med.unc.edu