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Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study

BACKGROUND: Expanded access to antiretroviral therapy (ART) using universal test and treat (UTT) has been suggested as a strategy to eliminate HIV in South Africa within 7 y based on an influential mathematical modeling study. However, the underlying deterministic model was criticized widely, and ot...

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Autores principales: Hontelez, Jan A. C., Lurie, Mark N., Bärnighausen, Till, Bakker, Roel, Baltussen, Rob, Tanser, Frank, Hallett, Timothy B., Newell, Marie-Louise, de Vlas, Sake J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805487/
https://www.ncbi.nlm.nih.gov/pubmed/24167449
http://dx.doi.org/10.1371/journal.pmed.1001534
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author Hontelez, Jan A. C.
Lurie, Mark N.
Bärnighausen, Till
Bakker, Roel
Baltussen, Rob
Tanser, Frank
Hallett, Timothy B.
Newell, Marie-Louise
de Vlas, Sake J.
author_facet Hontelez, Jan A. C.
Lurie, Mark N.
Bärnighausen, Till
Bakker, Roel
Baltussen, Rob
Tanser, Frank
Hallett, Timothy B.
Newell, Marie-Louise
de Vlas, Sake J.
author_sort Hontelez, Jan A. C.
collection PubMed
description BACKGROUND: Expanded access to antiretroviral therapy (ART) using universal test and treat (UTT) has been suggested as a strategy to eliminate HIV in South Africa within 7 y based on an influential mathematical modeling study. However, the underlying deterministic model was criticized widely, and other modeling studies did not always confirm the study's finding. The objective of our study is to better understand the implications of different model structures and assumptions, so as to arrive at the best possible predictions of the long-term impact of UTT and the possibility of elimination of HIV. METHODS AND FINDINGS: We developed nine structurally different mathematical models of the South African HIV epidemic in a stepwise approach of increasing complexity and realism. The simplest model resembles the initial deterministic model, while the most comprehensive model is the stochastic microsimulation model STDSIM, which includes sexual networks and HIV stages with different degrees of infectiousness. We defined UTT as annual screening and immediate ART for all HIV-infected adults, starting at 13% in January 2012 and scaled up to 90% coverage by January 2019. All models predict elimination, yet those that capture more processes underlying the HIV transmission dynamics predict elimination at a later point in time, after 20 to 25 y. Importantly, the most comprehensive model predicts that the current strategy of ART at CD4 count ≤350 cells/µl will also lead to elimination, albeit 10 y later compared to UTT. Still, UTT remains cost-effective, as many additional life-years would be saved. The study's major limitations are that elimination was defined as incidence below 1/1,000 person-years rather than 0% prevalence, and drug resistance was not modeled. CONCLUSIONS: Our results confirm previous predictions that the HIV epidemic in South Africa can be eliminated through universal testing and immediate treatment at 90% coverage. However, more realistic models show that elimination is likely to occur at a much later point in time than the initial model suggested. Also, UTT is a cost-effective intervention, but less cost-effective than previously predicted because the current South African ART treatment policy alone could already drive HIV into elimination. Please see later in the article for the Editors' Summary
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spelling pubmed-38054872013-10-28 Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study Hontelez, Jan A. C. Lurie, Mark N. Bärnighausen, Till Bakker, Roel Baltussen, Rob Tanser, Frank Hallett, Timothy B. Newell, Marie-Louise de Vlas, Sake J. PLoS Med Research Article BACKGROUND: Expanded access to antiretroviral therapy (ART) using universal test and treat (UTT) has been suggested as a strategy to eliminate HIV in South Africa within 7 y based on an influential mathematical modeling study. However, the underlying deterministic model was criticized widely, and other modeling studies did not always confirm the study's finding. The objective of our study is to better understand the implications of different model structures and assumptions, so as to arrive at the best possible predictions of the long-term impact of UTT and the possibility of elimination of HIV. METHODS AND FINDINGS: We developed nine structurally different mathematical models of the South African HIV epidemic in a stepwise approach of increasing complexity and realism. The simplest model resembles the initial deterministic model, while the most comprehensive model is the stochastic microsimulation model STDSIM, which includes sexual networks and HIV stages with different degrees of infectiousness. We defined UTT as annual screening and immediate ART for all HIV-infected adults, starting at 13% in January 2012 and scaled up to 90% coverage by January 2019. All models predict elimination, yet those that capture more processes underlying the HIV transmission dynamics predict elimination at a later point in time, after 20 to 25 y. Importantly, the most comprehensive model predicts that the current strategy of ART at CD4 count ≤350 cells/µl will also lead to elimination, albeit 10 y later compared to UTT. Still, UTT remains cost-effective, as many additional life-years would be saved. The study's major limitations are that elimination was defined as incidence below 1/1,000 person-years rather than 0% prevalence, and drug resistance was not modeled. CONCLUSIONS: Our results confirm previous predictions that the HIV epidemic in South Africa can be eliminated through universal testing and immediate treatment at 90% coverage. However, more realistic models show that elimination is likely to occur at a much later point in time than the initial model suggested. Also, UTT is a cost-effective intervention, but less cost-effective than previously predicted because the current South African ART treatment policy alone could already drive HIV into elimination. Please see later in the article for the Editors' Summary Public Library of Science 2013-10-22 /pmc/articles/PMC3805487/ /pubmed/24167449 http://dx.doi.org/10.1371/journal.pmed.1001534 Text en © 2013 Hontelez et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hontelez, Jan A. C.
Lurie, Mark N.
Bärnighausen, Till
Bakker, Roel
Baltussen, Rob
Tanser, Frank
Hallett, Timothy B.
Newell, Marie-Louise
de Vlas, Sake J.
Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study
title Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study
title_full Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study
title_fullStr Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study
title_full_unstemmed Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study
title_short Elimination of HIV in South Africa through Expanded Access to Antiretroviral Therapy: A Model Comparison Study
title_sort elimination of hiv in south africa through expanded access to antiretroviral therapy: a model comparison study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805487/
https://www.ncbi.nlm.nih.gov/pubmed/24167449
http://dx.doi.org/10.1371/journal.pmed.1001534
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