Published on in Vol 21, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13475, first published .
Development and Validation of a Personalized Social Media Platform–Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China

Development and Validation of a Personalized Social Media Platform–Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China

Development and Validation of a Personalized Social Media Platform–Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China

Journals

  1. Xu J, Tang W, Zhang F, Shang H. PrEP in China: choices are ahead. The Lancet HIV 2020;7(3):e155 View
  2. Yun K, Chu Z, Zhang J, Geng W, Jiang Y, Dong W, Shang H, Xu J. Mobile Phone Intervention Based on an HIV Risk Prediction Tool for HIV Prevention Among Men Who Have Sex With Men in China: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e19511 View
  3. Zhang J, Xu J, Wang H, Huang X, Chen Y, Wang H, Chu Z, Hu Q, He X, Li Y, Zhang L, Hu Z, Bao R, Li S, Li H, Ding H, Jiang Y, Geng W, Sylvia S, Shang H. Preference for daily versus on‐demand pre‐exposure prophylaxis for HIV and correlates among men who have sex with men: the China Real‐world Oral PrEP Demonstration study. Journal of the International AIDS Society 2021;24(2) View
  4. Malik A, Antonino A, Khan M, Nieminen M. Characterizing HIV discussions and engagement on Twitter. Health and Technology 2021;11(6):1237 View
  5. Ong J, Coulthard K, Quinn C, Tang M, Huynh T, Jamil M, Baggaley R, Johnson C. Risk-Based Screening Tools to Optimise HIV Testing Services: a Systematic Review. Current HIV/AIDS Reports 2022;19(2):154 View
  6. Zhao P, Yang Z, Li B, Xiong M, Zhang Y, Zhou J, Wang C. Simple-to-use nomogram for predicting the risk of syphilis among MSM in Guangdong Province: results from a serial cross-sectional study. BMC Infectious Diseases 2021;21(1) View
  7. Yun K, Yu J, Liu C, Zhang X. A Cost-effectiveness Analysis of a Mobile Phone–Based Integrated HIV-Prevention Intervention Among Men Who Have Sex With Men in China: Economic Evaluation. Journal of Medical Internet Research 2022;24(11):e38855 View
  8. Zhao P, Yang Z, Zhang Y, Chen J, Fu X, Tang W, Zhou J. Prevalence of syphilis and risk factors among HIV-positive men who have sex with men in Guangdong province. Frontiers in Public Health 2022;10 View
  9. Luo Q, Luo Y, Cui T, Li T. Performance of HIV Infection Prediction Models in Men Who Have Sex with Men: A Systematic Review and Meta-Analysis. Archives of Sexual Behavior 2023;52(5):2011 View
  10. Liu J, Yang R, Zhao X, Chu W, Li D, Wang F, Wei L. Risk factors of oncogenic HPV infection in HIV-positive men with anal condyloma acuminata in Shenzhen, Southeast China: a retrospective cohort study. Frontiers in Public Health 2023;11 View
  11. Ge Q, Lu X, Jiang R, Zhang Y, Zhuang X. Data mining and machine learning in HIV infection risk research: An overview and recommendations. Artificial Intelligence in Medicine 2024;153:102887 View
  12. Ibrahim K, Kahle E, Christiani Y, Suryani S. Utilization of Social Media for the Prevention and Control of HIV/AIDS: A Scoping Review. Journal of Multidisciplinary Healthcare 2024;Volume 17:2443 View
  13. Hong H, Shi X, Liu Y, Feng W, Fang T, Tang C, Xu G. HIV Incidence and Transactional Sex Among Men Who Have Sex With Men in Ningbo, China: Prospective Cohort Study Using a WeChat-Based Platform. JMIR Public Health and Surveillance 2024;10:e52366 View
  14. Chen Y, Yu W, Cai L, Liu B, Guo F. Enhancing HIV/STI decision-making: challenges and opportunities in leveraging predictive models for individuals, healthcare providers, and policymakers. Journal of Translational Medicine 2024;22(1) View