How Many HIV Infections May Be Averted by Targeting Primary Infection in Men Who Have Sex With Men? Quantification of Changes in Transmission-Risk Behavior, Using an Individual-Based Model
Authored by Peter J White, Julie Fox, Jonathan Weber, Sarah Fidler, Helen Ward
Date Published: 2014
DOI: 10.1093/infdis/jiu470
Sponsors:
Wellcome Trust
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
In the United Kingdom, human immunodeficiency virus (HIV) transmission
among men who have sex with men (MSM) is not under control, despite
readily available treatment, highlighting the need to design a
cost-effective combination prevention package. MSM report significantly
reduced transmission risk behavior following HIV diagnosis. To assess
the effectiveness of HIV diagnosis in averting transmission during
highly infectious primary HIV infection (PHI), we developed a stochastic
individual-based model to calculate the number of HIV-transmission
events expected to occur from a cohort of recently infected MSM with and
those without the behavior changes reported after diagnosis. The model
incorporates different types of sex acts, incorporates condom use, and
distinguishes between regular and casual sex partners. The impact on
transmission in the 3 months after infection depends on PHI duration and
testing frequency. If PHI lasts for 3 months and testing is performed
monthly, then behavior changes after diagnosis would have reduced
estimated transmission events by 49\%-52\%, from 31-45 to 15-23 events;
a shorter duration of PHI and/or a lower testing frequency reduces the
number of infections averted. Diagnosing HIV during PHI can markedly
reduce transmission by changing transmission-risk behavior. Because of
the high infectivity but short duration of PHI, even short-term behavior
change can significantly reduce transmission. Our quantification of the
number of infections averted is an essential component of assessment of
the cost-effectiveness of strategies to increase detection and diagnoses
of PHI.
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