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

Public Health Data Analytics (72) LGBTQ Issues (414)

Published on in Vol 7, No 3 (2015):

Agent-based computational model of the prevalence of gonococcal infections after the implementation of HIV pre-exposure prophylaxis guidelines

Agent-based computational model of the prevalence of gonococcal infections after the implementation of HIV pre-exposure prophylaxis guidelines

Agent-based computational model of the prevalence of gonococcal infections after the implementation of HIV pre-exposure prophylaxis guidelines

Authors of this article:

Erik Escobar1 ;   Ryan Durgham2 ;   Olaf Dammann3 ;   Thomas Stopka4
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Jo C, Kim D, Lee J, Cheong S. Sustainability of religious communities. PLOS ONE 2021;16(5):e0250718 View
  2. Tsoumanis A, Vanden Berghe W, Hens N, Van Dijck C. Estimating Partnership Duration among MSM in Belgium—A Modeling Study. Infectious Disease Reports 2024;16(3):435 View
  3. LeVasseur M, Goldstein N, Tabb L, Olivieri-Mui B, Welles S. The Effect of PrEP on HIV Incidence Among Men Who Have Sex With Men in the Context of Condom Use, Treatment as Prevention, and Seroadaptive Practices. JAIDS Journal of Acquired Immune Deficiency Syndromes 2018;77(1):31 View
  4. Geffen N, Scholz S, Mossong J. How various design decisions on matching individuals in relationships affect the outcomes of microsimulations of sexually transmitted infection epidemics. PLOS ONE 2018;13(8):e0202516 View
  5. Mallett S, Fraser R. Condom associated erection problems (CAEP) in heterosexual young men (under 40): A systematic review and qualitative synthesis. The Canadian Journal of Human Sexuality 2020;29(2):228 View