Literature DB >> 20349152

An age-structured model for the potential impact of generalized access to antiretrovirals on the South African HIV epidemic.

Nicolas Bacaër1, Carel Pretorius, Bertran Auvert.   

Abstract

A simple mathematical model (Granich et al., Lancet 373:48-57, 2009) suggested recently that annual HIV testing of the population, with all detected HIV(+) individuals immediately treated with antiretrovirals, could lead to the long-term decline of HIV in South Africa and could save millions of lives in the next few years. However, the model suggested that the long-term decline of HIV could not be achieved with less frequent HIV testing. Many observers argued that an annual testing rate was very difficult in practice. Small scale trials are nevertheless in preparation. In this paper, we use a more realistic age-structured model, which suggests that the recent high levels of reported condom use could already lead to a long-term decline of HIV in South Africa. The model therefore suggests that trials with for example 20% of the population tested each year would also be interesting. They would have similar (though smaller) advantages in terms of reduction of mortality and incidence, would be much easier to generalize to larger populations, and would not lead to long term persistence of HIV. Our model simulations also suggest that the age distribution of incidence has changed considerably over the past 20 years in South Africa. This raises some concern about an assumption presently used in EPP/Spectrum, the software used by UNAIDS for its estimates.

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Year:  2010        PMID: 20349152     DOI: 10.1007/s11538-010-9535-2

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  15 in total

1.  Viral load monitoring of antiretroviral therapy, cohort viral load and HIV transmission in Southern Africa: a mathematical modelling analysis.

Authors:  Janne Estill; Cindy Aubrière; Matthias Egger; Leigh Johnson; Robin Wood; Daniela Garone; Thomas Gsponer; Gilles Wandeler; Andrew Boulle; Mary-Ann Davies; Timothy B Hallett; Olivia Keiser
Journal:  AIDS       Date:  2012-07-17       Impact factor: 4.177

2.  Impact of Population Recruitment on the HIV Epidemics and the Effectiveness of HIV Prevention Interventions.

Authors:  Yuqin Zhao; Daniel T Wood; Hristo V Kojouharov; Yang Kuang; Dobromir T Dimitrov
Journal:  Bull Math Biol       Date:  2016-10-04       Impact factor: 1.758

3.  The effect of changes in condom usage and antiretroviral treatment coverage on human immunodeficiency virus incidence in South Africa: a model-based analysis.

Authors:  Leigh F Johnson; Timothy B Hallett; Thomas M Rehle; Rob E Dorrington
Journal:  J R Soc Interface       Date:  2012-01-18       Impact factor: 4.118

4.  Evaluating the cost-effectiveness of pre-exposure prophylaxis (PrEP) and its impact on HIV-1 transmission in South Africa.

Authors:  Carel Pretorius; John Stover; Lori Bollinger; Nicolas Bacaër; Brian Williams
Journal:  PLoS One       Date:  2010-11-05       Impact factor: 3.240

Review 5.  Modelling the impact of antiretroviral therapy on the epidemic of HIV.

Authors:  Brian G Williams; Viviane Lima; Eleanor Gouws
Journal:  Curr HIV Res       Date:  2011-09       Impact factor: 1.581

6.  Treatment as prevention: preparing the way.

Authors:  Brian Williams; Robin Wood; Victor Dukay; Wim Delva; David Ginsburg; John Hargrove; Martinus Stander; Robert Sheneberger; Julio Montaner; Alex Welte
Journal:  J Int AIDS Soc       Date:  2011-07-06       Impact factor: 5.396

7.  HIV treatment as prevention: systematic comparison of mathematical models of the potential impact of antiretroviral therapy on HIV incidence in South Africa.

Authors:  Jeffrey W Eaton; Leigh F Johnson; Joshua A Salomon; Till Bärnighausen; Eran Bendavid; Anna Bershteyn; David E Bloom; Valentina Cambiano; Christophe Fraser; Jan A C Hontelez; Salal Humair; Daniel J Klein; Elisa F Long; Andrew N Phillips; Carel Pretorius; John Stover; Edward A Wenger; Brian G Williams; Timothy B Hallett
Journal:  PLoS Med       Date:  2012-07-10       Impact factor: 11.069

8.  Estimation and Short-Term Prediction of the Course of the HIV Epidemic Using Demographic and Health Survey Methodology-Like Data.

Authors:  Stéphanie Blaizot; Benjamin Riche; David Maman; Irene Mukui; Beatrice Kirubi; Jean-François Etard; René Ecochard
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

9.  Large age shifts in HIV-1 incidence patterns in KwaZulu-Natal, South Africa.

Authors:  Adam Akullian; Alain Vandormael; Joel C Miller; Anna Bershteyn; Edward Wenger; Diego Cuadros; Dickman Gareta; Till Bärnighausen; Kobus Herbst; Frank Tanser
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-13       Impact factor: 12.779

10.  Assessing the Public Health impact of HIV interventions: the critical role of demographics.

Authors:  Dobromir Dimitrov; Yang Kuang; Benoît R Mâsse
Journal:  J Acquir Immune Defic Syndr       Date:  2014-06-01       Impact factor: 3.771

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