Literature DB >> 12821838

What can modeling tell us about the threat of antiviral drug resistance?

Sally Blower1, Paul Volberding.   

Abstract

PURPOSE OF REVIEW: Currently, antiviral resistance is a major public health concern. Here, we review how mathematical models have been used to provide insights into the emerging threat of antiviral resistance. We focus mainly on the problem of drug resistance to HIV. RECENT
FINDINGS: We review how antiviral models of HIV have been used: (1) to understand the evolution of an epidemic of drug-resistant HIV, (2) to predict the incidence and prevalence of drug-resistant HIV, (3) to conduct biological 'cost-benefit' analyses, and(4) to make public health policy recommendations. We also briefly discuss antiviral resistance for HSV-2 and influenza. Recent studies indicate that for HSV-2 and influenza drug resistance is not likely to become a major public health problem. However, for HIV the situation is very different. Results from several studies predict that a high prevalence of drug-resistant HIV will be an inevitable consequence of more widespread usage of antiretroviral therapies (ART). However more widespread usage of ART will save a substantial number of lives, and could even result in epidemic eradication.
SUMMARY: Models have been used in many ways to provide insight into the emerging threat of antiviral resistance, particularly for HIV. At this stage in the HIV epidemic the most important future use of models may be that they will force the goals of public health policies to be clearly defined. Once goals have been defined it can then be decided whether a high prevalence of drug-resistant HIV is a threat or simply a justified means to an end.

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Year:  2002        PMID: 12821838     DOI: 10.1097/00001432-200212000-00009

Source DB:  PubMed          Journal:  Curr Opin Infect Dis        ISSN: 0951-7375            Impact factor:   4.915


  8 in total

1.  Stochastic model of an influenza epidemic with drug resistance.

Authors:  Yaji Xu; Linda J S Allen; Alan S Perelson
Journal:  J Theor Biol       Date:  2007-05-17       Impact factor: 2.691

2.  Early antiretroviral therapy and potent second-line drugs could decrease HIV incidence of drug resistance.

Authors:  Mingwang Shen; Yanni Xiao; Libin Rong; Lauren Ancel Meyers; Steven E Bellan
Journal:  Proc Biol Sci       Date:  2017-06-28       Impact factor: 5.349

Review 3.  Potential public health impact of new tuberculosis vaccines.

Authors:  Elad Ziv; Charles L Daley; Sally Blower
Journal:  Emerg Infect Dis       Date:  2004-09       Impact factor: 6.883

4.  The effect of expanded antiretroviral treatment strategies on the HIV epidemic among men who have sex with men in San Francisco.

Authors:  Edwin D Charlebois; Moupali Das; Travis C Porco; Diane V Havlir
Journal:  Clin Infect Dis       Date:  2011-04-15       Impact factor: 9.079

5.  HIV drug-resistant strains as epidemiologic sentinels.

Authors:  María S Sánchez; Robert M Grant; Travis C Porco; Wayne M Getz
Journal:  Emerg Infect Dis       Date:  2006-02       Impact factor: 6.883

6.  Predicting the emergence of drug-resistant HSV-2: new predictions.

Authors:  Hayley B Gershengorn; Graham Darby; Sally M Blower
Journal:  BMC Infect Dis       Date:  2003-03-24       Impact factor: 3.090

7.  Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance.

Authors:  Caroline W Kanyiri; Kimathi Mark; Livingstone Luboobi
Journal:  Comput Math Methods Med       Date:  2018-08-29       Impact factor: 2.238

8.  A mathematical model for HIV prevention and control among men who have sex with men in China.

Authors:  Z Lu; L Wang; L P Wang; H Xing; G Fu; H Yan; L Wang; Z Li; J Xu; N Wang; K Wang; Z Peng
Journal:  Epidemiol Infect       Date:  2020-04-27       Impact factor: 2.451

  8 in total

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