Published on in Vol 4, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9357, first published .
Development of an Agent-Based Model to Investigate the Impact of HIV Self-Testing Programs on Men Who Have Sex With Men in Atlanta and Seattle

Development of an Agent-Based Model to Investigate the Impact of HIV Self-Testing Programs on Men Who Have Sex With Men in Atlanta and Seattle

Development of an Agent-Based Model to Investigate the Impact of HIV Self-Testing Programs on Men Who Have Sex With Men in Atlanta and Seattle

Journals

  1. Zheng Y, Zhao X, Zhang X, Ye X, Dai Q. Mining the Hidden Link Structure from Distribution Flows for a Spatial Social Network. Complexity 2019;2019:1 View
  2. Luo W, Gao P, Cassels S. A large-scale location-based social network to understanding the impact of human geo-social interaction patterns on vaccination strategies in an urbanized area. Computers, Environment and Urban Systems 2018;72:78 View
  3. Eden M, Castonguay R, Munkhbat B, Balasubramanian H, Gopalappa C. Agent-based evolving network modeling: a new simulation method for modeling low prevalence infectious diseases. Health Care Management Science 2021;24(3):623 View
  4. Janulis P, Goodreau S, Birkett M, Phillips G, Morris M, Mustanski B, Jenness S. Temporal Variation in One-Time Partnership Rates Among Young Men Who Have Sex With Men and Transgender Women. JAIDS Journal of Acquired Immune Deficiency Syndromes 2021;87(3):e214 View
  5. Yap P, Lachica Z, Paras A, Panogalinog I, Tubay J, Mata M. An agent-based model of COVID-19 dynamics during enhanced community quarantine: Exploring the role of food relief system in the presence of two SARS-CoV-2 variants. Frontiers in Applied Mathematics and Statistics 2023;9 View
  6. Vermeer W, Gurkan C, Hjorth A, Benbow N, Mustanski B, Kern D, Brown C, Wilensky U, Sharifi H. Agent-based model projections for reducing HIV infection among MSM: Prevention and care pathways to end the HIV epidemic in Chicago, Illinois. PLOS ONE 2022;17(10):e0274288 View
  7. Romanov G, Smirnova A, Zamyatin V, Mukhin A, Kazantsev F, Pshennikova V, Teryutin F, Solovyev A, Fedorova S, Posukh O, Lashin S, Barashkov N. Agent-Based Modeling of Autosomal Recessive Deafness 1A (DFNB1A) Prevalence with Regard to Intensity of Selection Pressure in Isolated Human Population. Biology 2022;11(2):257 View
  8. Hamilton D, Katz D, Luo W, Stekler J, Rosenberg E, Sullivan P, Goodreau S, Cassels S. Effective strategies to promote HIV self-testing for men who have sex with men: Evidence from a mathematical model. Epidemics 2021;37:100518 View
  9. Vahdat V, Alagoz O, Chen J, Saoud L, Borah B, Limburg P. Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks. Medical Decision Making 2023;43(6):719 View
  10. He J, Cen P, Qin J, Qin W, Xu X, Yang Y, Wu J, Li M, Zhang R, Luo T, Lin Z, Huang X, Ning C, Liang H, Ye L, Xu B, Liang B. Uptake of HIV testing and its correlates among sexually experienced college students in Southwestern, China: a Web-Based online cross-sectional study. BMC Public Health 2023;23(1) View
  11. Hamilton D, Katz D, Haderxhanaj L, Copen C, Spicknall I, Hogben M. Modeling the impact of changing sexual behaviors with opposite-sex partners and STI testing among women and men ages 15–44 on STI diagnosis rates in the United States 2012–2019. Infectious Disease Modelling 2023;8(4):1169 View
  12. Ye Y, Ni K, Jing F, Zhou Y, Tang W, Zhang Q. Model-Informed Targeted Network Interventions on Social Networks Among Men Who Have Sex With Men in Zhuhai, China. IEEE Transactions on Computational Social Systems 2024;11(1):238 View