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Mathematical modelling of the influence of serosorting on the population-level HIV transmission impact of pre-exposure prophylaxis.


ABSTRACT:

Objectives

HIV pre-exposure prophylaxis (PrEP) may change serosorting patterns. We examined the influence of serosorting on the population-level HIV transmission impact of PrEP, and how impact could change if PrEP users stopped serosorting.

Design

We developed a compartmental HIV transmission model parameterized with bio-behavioural and HIV surveillance data among MSM in Canada.

Methods

We separately fit the model with serosorting and without serosorting [counterfactual; sero-proportionate mixing (random partner-selection proportional to availability by HIV status)], and reproduced stable HIV epidemics with HIV-prevalence 10.3-24.8%, undiagnosed fraction 4.9-15.8% and treatment coverage 82.5-88.4%. We simulated PrEP-intervention reaching stable pre-specified coverage by year-one and compared absolute difference in relative HIV-incidence reduction 10 years post-intervention (PrEP-impact) between models with serosorting vs. sero-proportionate mixing; and counterfactual scenarios when PrEP users immediately stopped vs. continued serosorting. We examined sensitivity of results to PrEP-effectiveness (44-99%; reflecting varying dosing or adherence levels) and coverage (10-50%).

Results

Models with serosorting predicted a larger PrEP-impact than models with sero-proportionate mixing under all PrEP-effectiveness and coverage assumptions [median (interquartile range): 8.1% (5.5-11.6%)]. PrEP users' stopping serosorting reduced PrEP-impact compared with when PrEP users continued serosorting: reductions in PrEP-impact were minimal [2.1% (1.4-3.4%)] under high PrEP-effectiveness (86-99%); however, could be considerable [10.9% (8.2-14.1%)] under low PrEP effectiveness (44%) and high coverage (30-50%).

Conclusion

Models assuming sero-proportionate mixing may underestimate population-level HIV-incidence reductions due to PrEP. PrEP-mediated changes in serosorting could lead to programmatically important reductions in PrEP-impact under low PrEP-effectiveness. Our findings suggest the need to monitor sexual mixing patterns to inform PrEP implementation and evaluation.

SUBMITTER: Wang L 

PROVIDER: S-EPMC8183492 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Publications

Mathematical modelling of the influence of serosorting on the population-level HIV transmission impact of pre-exposure prophylaxis.

Wang Linwei L   Moqueet Nasheed N   Simkin Anna A   Knight Jesse J   Ma Huiting H   Lachowsky Nathan J NJ   Armstrong Heather L HL   Tan Darrell H S DHS   Burchell Ann N AN   Hart Trevor A TA   Moore David M DM   Adam Barry D BD   Macfadden Derek R DR   Baral Stefan S   Mishra Sharmistha S  

AIDS (London, England) 20210601 7


<h4>Objectives</h4>HIV pre-exposure prophylaxis (PrEP) may change serosorting patterns. We examined the influence of serosorting on the population-level HIV transmission impact of PrEP, and how impact could change if PrEP users stopped serosorting.<h4>Design</h4>We developed a compartmental HIV transmission model parameterized with bio-behavioural and HIV surveillance data among MSM in Canada.<h4>Methods</h4>We separately fit the model with serosorting and without serosorting [counterfactual; se  ...[more]

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