What do mathematical models tell us about the emergence and spread of drug-resistant HIV? : Current Opinion in HIV and AIDS

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Epidemic modelling: Edited by Geoffrey Garnett and David P. Wilson

What do mathematical models tell us about the emergence and spread of drug-resistant HIV?

Baggaley, Rebecca F; Powers, Kimberly A; Boily, Marie-Claude

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Current Opinion in HIV and AIDS 6(2):p 131-140, March 2011. | DOI: 10.1097/COH.0b013e328343ad03

Abstract

Purpose of review 

To discuss recent HIV epidemic models examining the transmission of antiretroviral (ARV) drug resistance.

Recent findings 

A relatively small number of recent transmission models have investigated ARV resistance in the context of therapeutic, combined ART (cART); ARV-vaginal microbicides (ARV-VMB); and oral pre-exposure prophylaxis (PrEP). Models of cART use have highlighted potential concerns about future resistance transmission, particularly in resource-constrained settings, and have emphasized the benefits of viral load monitoring in limiting resistance spread. PrEP models have concluded that inadvertent use by HIV-infected individuals could increase resistance prevalence, and that risk compensation by PrEP users could limit their beneficial effects on HIV transmission. ARV-VMB models have demonstrated that whereas resistance can reduce prophylactic effectiveness in preventing HIV acquisition of female ARV-VMB users, it may concomitantly benefit users' male partners if the resistant strains that female users acquire are less transmissible than wild-type strains. The models have examined the balance between these two factors at the population level.

Summary 

Recent HIV transmission models have adopted a wide assortment of structures and assumptions to explore drug resistance in the context of different ARV interventions in various settings. There is a need for future work emphasizing the simultaneous effects of multiple ARV interventions, as well as the public health impact of resistance, not just its prevalence.

Copyright © 2011 Wolters Kluwer Health, Inc. All rights reserved.

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