Predicting the unpredictable: Transmission of drug-resistant HIV

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 relat...

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Published inNature medicine Vol. 7; no. 9; pp. 1016 - 1020
Main Authors Blower, S.M, Aschenbach, A.N, Gershengorn, H.B, Kahn, J.O
Format Journal Article
LanguageEnglish
Published United States Nature Publishing Group 01.09.2001
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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.
AbstractList 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.
Audience Academic
Author Aschenbach, A.N
Gershengorn, H.B
Blower, S.M
Kahn, J.O
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  surname: Gershengorn
  fullname: Gershengorn, H.B
  organization: Harvard Medical School
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  givenname: J.O
  surname: Kahn
  fullname: Kahn, J.O
  organization: University of California, San Francisco and San Francisco General Hospital
BackLink https://www.ncbi.nlm.nih.gov/pubmed/11533704$$D View this record in MEDLINE/PubMed
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SSID ssj0003059
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Snippet 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...
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SubjectTerms Acquired immune deficiency syndrome
AIDS
Anti-HIV Agents - pharmacology
Anti-HIV Agents - therapeutic use
Drug resistance
Drug Resistance, Microbial
Epidemics
HIV
HIV Infections - epidemiology
HIV Infections - virology
HIV-1 - drug effects
HIV-1 - physiology
Human immunodeficiency virus
Humans
Infections
Medicine
Models, Theoretical
Pathogens
Public health
Publishing
San Francisco - epidemiology
Title Predicting the unpredictable: Transmission of drug-resistant HIV
URI http://dx.doi.org/10.1038/nm0901-1016
https://www.ncbi.nlm.nih.gov/pubmed/11533704
https://www.proquest.com/docview/223130005
https://search.proquest.com/docview/18213927
https://search.proquest.com/docview/71147398
Volume 7
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