Literature DB >> 11533704

Predicting the unpredictable: transmission of drug-resistant HIV.

S M Blower1, A N Aschenbach, H B Gershengorn, J O Kahn.   

Abstract

We use a mathematical model to understand (from 1996 to 2001) and to predict (from 2001 to 2005) the evolution of the epidemic of drug-resistant HIV in San Francisco. We predict the evolutionary trajectories for 1,000 different drug-resistant strains with each strain having a different fitness relative to a drug-sensitive strain. We calculate that the current prevalence of resistance is high, and predict it will continue to rise. In contrast, we calculate that transmission of resistance is currently low, and predict it will remain low. We show that the epidemic of resistance is being generated mainly by the conversion of drug-sensitive cases to drug-resistant cases, and not by the transmission of resistant strains. We also show that transmission of resistant strains has not increased the overall number of new HIV infections. Our results indicate that transmission of resistant strains is, and will remain, a relatively minor public health problem.

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Year:  2001        PMID: 11533704     DOI: 10.1038/nm0901-1016

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  49 in total

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2.  Medication adherence: tailoring the analysis to the data.

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3.  Bad advice: how not to have sex in an epidemic.

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4.  Predicting the epidemiological impact of antiretroviral allocation strategies in KwaZulu-Natal: the effect of the urban-rural divide.

Authors:  David P Wilson; James Kahn; Sally M Blower
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-12       Impact factor: 11.205

Review 5.  Mathematical models for the study of HIV spread and control amongst men who have sex with men.

Authors:  Narat Punyacharoensin; William John Edmunds; Daniela De Angelis; Richard Guy White
Journal:  Eur J Epidemiol       Date:  2011-09-20       Impact factor: 8.082

6.  Antiretroviral therapy adherence among transgender women living with HIV.

Authors:  Jae M Sevelius; Adam Carrico; Mallory O Johnson
Journal:  J Assoc Nurses AIDS Care       Date:  2010-03-29       Impact factor: 1.354

7.  Subunit-selective mutational analysis and tissue culture evaluations of the interactions of the E138K and M184I mutations in HIV-1 reverse transcriptase.

Authors:  Hong-Tao Xu; Maureen Oliveira; Peter K Quashie; Matthew McCallum; Yingshan Han; Yudong Quan; Bluma G Brenner; Mark A Wainberg
Journal:  J Virol       Date:  2012-05-23       Impact factor: 5.103

8.  Antiretroviral drug resistance and risk behavior among recently HIV-infected men who have sex with men.

Authors:  Pamina M Gorbach; Lydia N Drumright; Marjan Javanbakht; Sergei L Pond; Christopher H Woelk; Eric S Daar; Susan J Little
Journal:  J Acquir Immune Defic Syndr       Date:  2008-04-15       Impact factor: 3.731

9.  The cost-effectiveness of counseling strategies to improve adherence to highly active antiretroviral therapy among men who have sex with men.

Authors:  Gregory S Zaric; Ahmed M Bayoumi; Margaret L Brandeau; Douglas K Owens
Journal:  Med Decis Making       Date:  2008-03-18       Impact factor: 2.583

10.  Can we spend our way out of the AIDS epidemic? A world halting AIDS model.

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Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

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