This paper is in the following e-collection/theme issue:

Online Dating, Sexual Health Behavior (149) HIV/AIDS/STI Prevention and Care (819) Longitudinal and Cohort Studies in Public Health (263)

Published on in Vol 20, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11303, first published .
The Effect of Using Geosocial Networking Apps on the HIV Incidence Rate Among Men Who Have Sex With Men: Eighteen-Month Prospective Cohort Study in Shenyang, China

The Effect of Using Geosocial Networking Apps on the HIV Incidence Rate Among Men Who Have Sex With Men: Eighteen-Month Prospective Cohort Study in Shenyang, China

The Effect of Using Geosocial Networking Apps on the HIV Incidence Rate Among Men Who Have Sex With Men: Eighteen-Month Prospective Cohort Study in Shenyang, China

Authors of this article:

Junjie Xu1 Author Orcid Image ;   Huan Yu1 Author Orcid Image ;   Weiming Tang2 Author Orcid Image ;   Sequoia I Leuba3 Author Orcid Image ;   Jing Zhang1 Author Orcid Image ;   Xiang Mao1 Author Orcid Image ;   Hongyi Wang1 Author Orcid Image ;   Wenqing Geng1 Author Orcid Image ;   Yongjun Jiang1 Author Orcid Image ;   Hong Shang1 Author Orcid Image
Article Authors Cited by (25) Tweetations (7) Metrics

Journals

  1. Wang X, Tang Z, Wu Z, Nong Q, Li Y. Promoting oral HIV self‐testing via the internet among men who have sex with men in China: a feasibility assessment. HIV Medicine 2020;21(5):322 View
  2. Luo Q, Huang X, Li L, Ding Y, Mi G, Scott S, Zhao Y, Rou K, He N, Wu H, Wu Z. External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men. Medicine 2019;98(29):e16375 View
  3. Zhao N, Li K, Gao Y, Xu J, Huang D. Mycoplasma Genitalium and Mycoplasma Hominis are prevalent and correlated with HIV risk in MSM: a cross-sectional study in Shenyang, China. BMC Infectious Diseases 2019;19(1) View
  4. Kenyon C, Van Dijck C, Florence E. Facing increased sexually transmitted infection incidence in HIV preexposure prophylaxis cohorts: what are the underlying determinants and what can be done?. Current Opinion in Infectious Diseases 2020;33(1):51 View
  5. Li W, Chu J, Zhu Z, Li X, Ge Y, He Y, Ni Q, Musa T, Li X, Wei P. Epidemiological characteristics of HIV infection among college students in Nanjing, China: a cross-sectional survey. BMJ Open 2020;10(5):e035889 View
  6. Yan X, Li Y, Su H, Xing Y, Zhang B, Lu Z, Jia Z. Protect MSM from HIV and other sexually transmitted diseases by providing mobile health services of partner notification: protocol for a pragmatic stepped wedge cluster randomized controlled trial. BMC Public Health 2020;20(1) View
  7. Wang H, Zhang J, Chu Z, Hu Q, Dong W, Huang X, Chen Y, Wang H, He X, Zhang L, Hu Z, Bao R, Li S, Li H, Cui S, Jin X, Ding H, Geng W, Jiang Y, Xu J, Shang H. Risk-Taking Behaviors and Adherence to HIV Pre-Exposure Prophylaxis in Users of Geosocial Networking Apps: Real-World, Multicenter Study. Journal of Medical Internet Research 2020;22(10):e22388 View
  8. Jiang D, Hou Y, Chen X, Wang R, Fu C, Li B, Jin L, Lee T, Liu X. Interpersonal Sensitivity and Loneliness among Chinese Gay Men: A Cross-Sectional Survey. International Journal of Environmental Research and Public Health 2019;16(11):2039 View
  9. Yun K, Xu J, Leuba S, Zhu Y, Zhang J, Chu Z, Geng W, Jiang Y, Shang H. Development and Validation of a Personalized Social Media Platform–Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China. Journal of Medical Internet Research 2019;21(6):e13475 View
  10. Knox J, Chen Y, He Q, Liu G, Jones J, Wang X, Sullivan P, Siegler A. Use of Geosocial Networking Apps and HIV Risk Behavior Among Men Who Have Sex With Men: Case-Crossover Study. JMIR Public Health and Surveillance 2021;7(1):e17173 View
  11. Choi K, Choi E, Chow E, Wan E, Wong W, Wong J, Fong D. The Experience of Using Dating Applications for Sexual Hook-Ups: A Qualitative Exploration among HIV-Negative Men Who Have Sex With Men in Hong Kong. The Journal of Sex Research 2021;58(6):785 View
  12. Mi G, Zhang B, Yu F, Ren X, Ong J, Fan Y, Guo F, Li C, Zhang M, Zhang M. HIV incidence among men who have sex with men using geosocial networking smartphone application in Beijing, China: an open cohort study. Infectious Diseases of Poverty 2021;10(1) View
  13. Chen S, Yang Q, He J, Fan X, Liu Z, Qiu J, Zheng Z, Gu J, Cheng W, Hao Y, Li J, Hao C. The effects of intimate relationship characteristics on unprotected anal intercourse among same-sex male couples in China: a dyadic analysis using the actor-partner interdependence model. BMC Infectious Diseases 2021;21(1) View
  14. Pang X, Liang S, Tang K, Huang J, He Q, Fang N, Xie B, Xie X, Wang H, Hu Y, Lan G. Disparity of HIV-1 Pretreatment Drug Resistance in Men Who Have Sex With Men and the Heterosexual Population in Guangxi, China. Open Forum Infectious Diseases 2023;10(2) View
  15. Yan X, Xu H, Li Y, Su H, Zhang B, Jia Z. Clustering HIV infections among MSM fuelled by drug and internet. Sexually Transmitted Infections 2022;98(2):153 View
  16. Chinbunchorn T, Thaneerat N, Howell S, Sowaprux T, Phiphatkunarnon P, Lujintanon S, Kaewpoowat Q, Phanuphak P, Phanuphak N, Ramautarsing R. Assessment of U=U understanding, PrEP awareness, HIV risk behaviours and factors associated with low HIV knowledge among users of Hornet, an online dating application for LGBTQ, in Thailand. Sexually Transmitted Infections 2023;99(1):21 View
  17. Gibson L, Kramer E, Bryan A. Geosocial Networking App Use Associated With Sexual Risk Behavior and Pre-exposure Prophylaxis Use Among Gay, Bisexual, and Other Men Who Have Sex With Men: Cross-sectional Web-Based Survey. JMIR Formative Research 2022;6(6):e35548 View
  18. Guo Z, Feng A, Zhou Y, Gao Y, Sun Y, Chen Y, Zhou X, Zou H. Geosocial networking mobile applications use and HIV and other sexually transmitted infections among men who have sex with men in Southern China: A cross-sectional study. Frontiers in Public Health 2023;11 View
  19. Sood S, Rawat K, Kumar D. Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace. Telematics and Informatics 2022;69:101796 View
  20. Acharya S, Karanjkar V, Chougule S, Katkar S, Patil S, Dwivedi V, Deshpande P, Setia M, Tiamiyu A. Online partner seeking and high-risk behaviour in men who have sex with men and male-to-female transgendered people in Mumbai, India: Implications for prevention strategies. PLOS ONE 2023;18(4):e0284602 View
  21. Dai Z, Mi G, Yu F, Chen G, Wang X, He Q. Using a Geosocial Networking App to Investigate New HIV Infections and Related Risk Factors Among Student and Nonstudent Men Who Have Sex With Men in Chengdu, China: Open Cohort Study. Journal of Medical Internet Research 2023;25:e43493 View
  22. Wang L, Yan X, Mei L, Jia Z, Hao R, Xu J, Zhang B. Effect of e-health interventions on HIV prevention: a protocol of systematic review and meta-analysis. Systematic Reviews 2023;12(1) View
  23. He A, Bu H, Mu W, Fu D, Chen C. Understanding Motivations for Dating App Use Among Gay and Bisexual Men: Validation, Latent Profile Analysis, and Differences in Health Outcomes. Archives of Sexual Behavior 2024;53(2):555 View
  24. Zhao R, Fairley C, Cook A, Phanuphak N, He S, Tieosapjaroen W, Chow E, Phillips T, Jin Tan R, Wei Y, Shen M, Zhuang G, Ong J, Zhang L. Optimising HIV pre-exposure prophylaxis and testing strategies in men who have sex with men in Australia, Thailand, and China: a modelling study and cost-effectiveness analysis. The Lancet Global Health 2024;12(2):e243 View
  25. McQuade E, Sánchez H, Hidalgo J, Cabello R, Fernandez R, Jones J, Duerr A, Lankowski A. HIV Risk Behaviors and the Use of Geosocial Networking Dating Apps among Men Who have Sex with Men and Transgender Women in Lima, Peru: a Cross-Sectional Study. AIDS and Behavior 2024 View