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Updated: Jan 24, 2026

Chronic, Acute, and Reactivated HIV Infection in Humanized Immunodeficient Mouse Models
Published on: December 3, 2019
Proportion of Incident Human Immunodeficiency Virus Cases Among Men Who Have Sex With Men Attributable to Gonorrhea
Jeb Jones, Kevin Weiss, Jonathan Mermin1
1Centers for Disease Control and Prevention, Atlanta, GA.
Background:
Sexually transmitted infections (STIs) are associated with an increased risk of human immunodeficiency virus (HIV) acquisition and transmission. We estimated the proportion of HIV incidence among men who have sex with men attributable to infection with the 2 most common bacterial STIs, Neisseria gonorrhoeae (NG) and Chlamydia trachomatis (CT).
Methods:
We used a stochastic, agent-based model of a sexual network of MSM with cocirculating HIV, NG, and CT infections. Relative risk (RR) multipliers, specific to anatomic site of infection, modified the risk of HIV transmission and acquisition based on STI status. We estimated the effect of NG and CT on HIV incidence overall and on HIV acquisition and HIV transmission separately. Each scenario was simulated for 10 years. The population attributable fraction (PAF) was determined for each combination of RRs by comparing the incidence in the final year of a scenario to a scenario in which the RRs associated with NG and CT were set to 1.0.
Results:
Overall, 10.2% (interquartile range [IQR], 7.9-12.4) of HIV infections were attributable to NG/CT infection. Then in sensitivity analyses, the PAF for HIV transmission ranged from 3.1% (IQR, 0.5-5.2) to 20.4% (IQR, 17.8-22.5) and the PAF for HIV acquisition ranged from 2.0% (IQR, -0.7 to 4.3) to 13.8% (IQR, 11.7-16.0).
Conclusions:
Despite challenges in estimating the causal impact of NG/CT on HIV risk, modeling is an alternative approach to quantifying plausible ranges of effects given uncertainty in the biological cofactors. Our estimates represent idealized public health interventions in which STI could be maximally prevented, setting targets for real-world STI interventions that seek to reduce HIV incidence.
Insights
Bacterial sexually transmitted infections (STIs), specifically Neisseria gonorrhoeae (NG) and Chlamydia trachomatis (CT), contribute to a significant proportion of new human immunodeficiency virus (HIV) infections among men who have sex with men (MSM). Targeted STI prevention can help reduce HIV transmission.
Area of Science:
- Epidemiology
- Public Health
- Mathematical Modeling
Background:
- Sexually transmitted infections (STIs) increase the risk of human immunodeficiency virus (HIV) acquisition and transmission.
- Neisseria gonorrhoeae (NG) and Chlamydia trachomatis (CT) are common bacterial STIs.
- Men who have sex with men (MSM) are a key population for understanding STI and HIV co-epidemics.
Purpose of the Study:
- To estimate the proportion of HIV incidence among MSM attributable to co-infection with NG and CT.
- To quantify the impact of common bacterial STIs on HIV transmission dynamics in MSM populations.
Main Methods:
- Utilized a stochastic, agent-based model simulating a sexual network of MSM with co-circulating HIV, NG, and CT.
- Incorporated relative risk (RR) multipliers, specific to infection site, to adjust HIV transmission and acquisition risk based on STI status.
- Simulated scenarios for 10 years to calculate the population attributable fraction (PAF) for NG/CT on HIV incidence.
Main Results:
- Overall, 10.2% of HIV infections among MSM were attributable to NG/CT co-infection.
- Sensitivity analyses showed the population attributable fraction (PAF) for HIV transmission ranged from 3.1% to 20.4%.
- The PAF for HIV acquisition ranged from 2.0% to 13.8% in sensitivity analyses.
Conclusions:
- Mathematical modeling provides a valuable approach to estimate the impact of STIs on HIV risk, especially amid biological uncertainties.
- Findings highlight the potential for STI prevention strategies to significantly reduce HIV incidence in MSM.
- The study sets targets for public health interventions aimed at curbing STI and HIV transmission in MSM communities.
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