Literature DB >> 21505388

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

Rebecca F Baggaley1, Kimberly A Powers, Marie-Claude Boily.   

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.

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Year:  2011        PMID: 21505388      PMCID: PMC3096989          DOI: 10.1097/COH.0b013e328343ad03

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  41 in total

Review 1.  Competition between zidovudine-sensitive and zidovudine-resistant strains of HIV.

Authors:  A R McLean; M A Nowak
Journal:  AIDS       Date:  1992-01       Impact factor: 4.177

2.  Mathematical analysis of a two strain HIV/AIDS model with antiretroviral treatment.

Authors:  C P Bhunu; W Garira; G Magombedze
Journal:  Acta Biotheor       Date:  2009-04-09       Impact factor: 1.774

3.  A tale of two futures: HIV and antiretroviral therapy in San Francisco.

Authors:  S M Blower; H B Gershengorn; R M Grant
Journal:  Science       Date:  2000-01-28       Impact factor: 47.728

4.  Modelling HIV/AIDS epidemics in Botswana and India: impact of interventions to prevent transmission.

Authors:  Nico J D Nagelkerke; Prabhat Jha; Sake J de Vlas; Eline L Korenromp; Stephen Moses; James F Blanchard; Frank A Plummer
Journal:  Bull World Health Organ       Date:  2002       Impact factor: 9.408

5.  Examining the promise of HIV elimination by 'test and treat' in hyperendemic settings.

Authors:  Peter J Dodd; Geoff P Garnett; Timothy B Hallett
Journal:  AIDS       Date:  2010-03-13       Impact factor: 4.177

6.  Survival in women exposed to single-dose nevirapine for prevention of mother-to-child transmission of HIV: a stochastic model.

Authors:  Daniel Westreich; Joseph Eron; Frieda Behets; Charles van der Horst; Annelies Van Rie
Journal:  J Infect Dis       Date:  2007-02-07       Impact factor: 5.226

Review 7.  Two drugs or three? Balancing efficacy, toxicity, and resistance in postexposure prophylaxis for occupational exposure to HIV.

Authors:  Ingrid V Bassett; Kenneth A Freedberg; Rochelle P Walensky
Journal:  Clin Infect Dis       Date:  2004-07-16       Impact factor: 9.079

8.  Cost-effectiveness of post-exposure prophylaxis following sexual exposure to HIV.

Authors:  S D Pinkerton; D R Holtgrave; F R Bloom
Journal:  AIDS       Date:  1998-06-18       Impact factor: 4.177

9.  Notions of synergy for combinations of interventions against infectious diseases in heterogeneously mixing populations.

Authors:  Peter J Dodd; Peter J White; Geoff P Garnett
Journal:  Math Biosci       Date:  2010-07-01       Impact factor: 2.144

10.  Modelling the impact of antiretroviral use in resource-poor settings.

Authors:  Rebecca F Baggaley; Geoff P Garnett; Neil M Ferguson
Journal:  PLoS Med       Date:  2006-03-14       Impact factor: 11.069

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  6 in total

Review 1.  Drug Resistance During HIV Pre-Exposure Prophylaxis.

Authors:  Kevin M Gibas; Polly van den Berg; Victoria E Powell; Douglas S Krakower
Journal:  Drugs       Date:  2019-04       Impact factor: 9.546

Review 2.  Pre-exposure prophylaxis and antiretroviral resistance: HIV prevention at a cost?

Authors:  Christopher B Hurt; Joseph J Eron; Myron S Cohen
Journal:  Clin Infect Dis       Date:  2011-10-05       Impact factor: 9.079

3.  The impact of the 2013 WHO antiretroviral therapy guidelines on the feasibility of HIV population prevention trials.

Authors:  Eric Ross; Frank Tanser; Pamela Pei; Marie-Louise Newell; Elena Losina; Rodolphe Thiebaut; Milton Weinstein; Kenneth Freedberg; Xavier Anglaret; Callie Scott; Francois Dabis; Rochelle Walensky
Journal:  HIV Clin Trials       Date:  2014 Sep-Oct

4.  Population-level mathematical modeling of antimicrobial resistance: a systematic review.

Authors:  Anna Maria Niewiadomska; Bamini Jayabalasingham; Jessica C Seidman; Lander Willem; Bryan Grenfell; David Spiro; Cecile Viboud
Journal:  BMC Med       Date:  2019-04-24       Impact factor: 8.775

5.  A model of HIV drug resistance driven by heterogeneities in host immunity and adherence patterns.

Authors:  Anna Bershteyn; Philip A Eckhoff
Journal:  BMC Syst Biol       Date:  2013-02-04

Review 6.  Analytic review of modeling studies of ARV Based PrEP interventions reveals strong influence of drug-resistance assumptions on the population-level effectiveness.

Authors:  Dobromir Dimitrov; Marie-Claude Boily; Elizabeth R Brown; Timothy B Hallett
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

  6 in total

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