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

Erik Escobar   1 ;   Ryan Durgham   2 ;   Olaf Dammann   3 ;   Thomas Stopka   4

1 Tufts University, Sackler School of Graduate Biomedical Studies, Boston, MA St. Edward’s University, School of Natural Sciences, Austin, TX

2 Tufts University, Sackler School of Graduate Biomedical Studies, Boston, MA University of Massachusetts, Amherst, MA

3 Tufts University School of Medicine Department of Public Health and Community Medicine

4 Tufts University School of Medicine, Department of Public Health and Community Medicine, Boston, MA

Corresponding Author:

  • Erik Escobar
  • Tufts University, Sackler School of Graduate Biomedical Studies, Boston, MA St. Edward’s University, School of Natural Sciences, Austin, TX