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How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?

Using mathematical modelling, we describe the temporal evolution of population HIV-1 viral load in Tanzania throughout the epidemic. Population log(10) viral load was found to be stable and not sensitive to epidemic dynamics. However, even modest increases in antiretroviral therapy (ART) coverage we...

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Detalles Bibliográficos
Autores principales: Abu-Raddad, Laith J., Awad, Susanne F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966913/
https://www.ncbi.nlm.nih.gov/pubmed/24499955
http://dx.doi.org/10.1097/QAD.0000000000000211
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author Abu-Raddad, Laith J.
Awad, Susanne F.
author_facet Abu-Raddad, Laith J.
Awad, Susanne F.
author_sort Abu-Raddad, Laith J.
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description Using mathematical modelling, we describe the temporal evolution of population HIV-1 viral load in Tanzania throughout the epidemic. Population log(10) viral load was found to be stable and not sensitive to epidemic dynamics. However, even modest increases in antiretroviral therapy (ART) coverage were reflected as appreciable reductions in population log(10) viral load. As ART coverage expands in sub-Saharan Africa, population log(10) viral load will increasingly become a powerful proxy for monitoring ART implementation and HIV incidence trends.
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spelling pubmed-39669132014-03-27 How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa? Abu-Raddad, Laith J. Awad, Susanne F. AIDS Research Letter Using mathematical modelling, we describe the temporal evolution of population HIV-1 viral load in Tanzania throughout the epidemic. Population log(10) viral load was found to be stable and not sensitive to epidemic dynamics. However, even modest increases in antiretroviral therapy (ART) coverage were reflected as appreciable reductions in population log(10) viral load. As ART coverage expands in sub-Saharan Africa, population log(10) viral load will increasingly become a powerful proxy for monitoring ART implementation and HIV incidence trends. Lippincott Williams & Wilkins 2014-03-27 2014-03-12 /pmc/articles/PMC3966913/ /pubmed/24499955 http://dx.doi.org/10.1097/QAD.0000000000000211 Text en © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivitives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.
spellingShingle Research Letter
Abu-Raddad, Laith J.
Awad, Susanne F.
How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
title How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
title_full How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
title_fullStr How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
title_full_unstemmed How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
title_short How does population viral load vary with the evolution of a large HIV epidemic in sub-Saharan Africa?
title_sort how does population viral load vary with the evolution of a large hiv epidemic in sub-saharan africa?
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966913/
https://www.ncbi.nlm.nih.gov/pubmed/24499955
http://dx.doi.org/10.1097/QAD.0000000000000211
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