Saturation effects and the concurrency hypothesis: Insights from an analytic model

Joel C Miller1, Anja C Slim2,3

  • 1Institute for Disease Modeling, Bellevue, WA, United States of America.

Plos One
|November 15, 2017
PubMed
Summary

Concurrent sexual partnerships can significantly accelerate HIV spread and increase prevalence in some populations. However, their impact varies, suggesting targeted interventions are most effective in populations with low to moderate concurrency.

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