hdl:10101/npre.2009.3917.1
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Voluntary universal testing and treatment is unlikely to lead to HIV elimination: a modeling analysis

Bradley G. Wagner1 and Sally Blower1

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  1. David Geffen School of Medicine, UCLA
Document Type:
Manuscript
Date:
Received 29 October 2009 08:46 UTC; Posted 29 October 2009
Subjects:
Bioinformatics
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Abstract:

Recently Granich et al. at the World Health Organization (WHO) concluded, using mathematical modeling, that HIV epidemics could be eliminated within a decade. They assumed all individuals would be tested annually and every infected individual (regardless of stage of infection) would be put on treatment. Based on this modeling study the WHO is considering using universal testing and treatment as an HIV elimination strategy. Here we examine the study by Granich et al. and assess its validity. We present new analyses of their model by varying assumptions and parameter values. We find that under certain very optimistic assumptions HIV elimination would be (theoretically) possible, but it would take at least 70 years. To obtain this result we assumed ~65% of symptomatic and ~20% of asymptomatic individuals would be treated per year; ARVs would reduce infectivity of treated individuals a hundred fold, and only 5% of symptomatic individuals would give up treatment per year. Even under optimistic assumptions we find elimination to be unlikely. For example, we show if ~65% of symptomatic individuals are treated per year and treated individuals are completely noninfectious, HIV will remain endemic with a prevalence of 34% and an incidence of 2% per year. We conclude that the model developed by Granich et al., when used with realistic parameter values, does not show HIV elimination is possible. However our modeling results show treatment could act as an effective prevention tool and significantly reduce transmission, even if only symptomatic individuals receive ARVs. Treatment should first, and foremost, be used for therapeutic purposes. Hence, we recommend – when resources are limited – targeting those in need of treatment. Such a strategy would be ethical, feasible and epidemiologically sound. We advise that models used as health policy tools should be carefully evaluated and their results interpreted with caution.

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Elcio Leal 8 days ago

It is unquestionably how useful mathematical modeling can be to address many aspects of HIV and AIDS. However, the dynamics of HIV infection is quite complex with many characteristics not yet fully understood. Here, Wagner & Blower showed that assuming more realistic parameter, HIV could be eradicated in 70 years. The authors also predict that treating only symptomatic individuals can effectively reduce new HIV infections. Some key aspect of HIV that should be considered more carefully:

(1) During the asymptomatic phase virus load is usually high, therefore increasing changes of new transmissions.

(2) In developing countries, a significant proportion of HIV-infected individuals are diagnosed only when they enter in the symptomatic phase.

(3) Mutations that confer drug resistance are quickly selected in the within-host viral population.

(4) Epidemic spreading of drug resistant HIV has been observed in newly infected individuals that were never exposed to antiretroviral therapy.

Voluntary treatment is unlikely to reach all infected individuals and undiagnosed individuals can function as viral reservoir. On the other hand, even assuming a perfect scenario where all HIV-infected receive therapy, drug resistant variants emerge and rapidly disseminate in the host population. By these reasons HIV eradication based on large-scale treatment is not a realistic approach.

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This document is licensed to the public under the Creative Commons Attribution 3.0 License
How to cite this document:

Wagner, Bradley and Blower, Sally. Voluntary universal testing and treatment is unlikely to lead to HIV elimination: a modeling analysis. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2009.3917.1> (2009)

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