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Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control

Under the premise that in a resource-constrained environment such as Sub-Saharan Africa it is not possible to do everything, to everyone, everywhere, detailed geographical knowledge about the HIV epidemic becomes essential to tailor programmatic responses to specific local needs. However, the design...

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Autores principales: Cuadros, Diego F., Li, Jingjing, Branscum, Adam J., Akullian, Adam, Jia, Peng, Mziray, Elizabeth N., Tanser, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567213/
https://www.ncbi.nlm.nih.gov/pubmed/28831171
http://dx.doi.org/10.1038/s41598-017-09464-y
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author Cuadros, Diego F.
Li, Jingjing
Branscum, Adam J.
Akullian, Adam
Jia, Peng
Mziray, Elizabeth N.
Tanser, Frank
author_facet Cuadros, Diego F.
Li, Jingjing
Branscum, Adam J.
Akullian, Adam
Jia, Peng
Mziray, Elizabeth N.
Tanser, Frank
author_sort Cuadros, Diego F.
collection PubMed
description Under the premise that in a resource-constrained environment such as Sub-Saharan Africa it is not possible to do everything, to everyone, everywhere, detailed geographical knowledge about the HIV epidemic becomes essential to tailor programmatic responses to specific local needs. However, the design and evaluation of national HIV programs often rely on aggregated national level data. Against this background, here we proposed a model to produce high-resolution maps of intranational estimates of HIV prevalence in Kenya, Malawi, Mozambique and Tanzania based on spatial variables. The HIV prevalence maps generated highlight the stark spatial disparities in the epidemic within a country, and localize areas where both the burden and drivers of the HIV epidemic are concentrated. Under an era focused on optimal allocation of evidence-based interventions for populations at greatest risk in areas of greatest HIV burden, as proposed by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United States President’s Emergency Plan for AIDS Relief (PEPFAR), such maps provide essential information that strategically targets geographic areas and populations where resources can achieve the greatest impact.
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spelling pubmed-55672132017-09-01 Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control Cuadros, Diego F. Li, Jingjing Branscum, Adam J. Akullian, Adam Jia, Peng Mziray, Elizabeth N. Tanser, Frank Sci Rep Article Under the premise that in a resource-constrained environment such as Sub-Saharan Africa it is not possible to do everything, to everyone, everywhere, detailed geographical knowledge about the HIV epidemic becomes essential to tailor programmatic responses to specific local needs. However, the design and evaluation of national HIV programs often rely on aggregated national level data. Against this background, here we proposed a model to produce high-resolution maps of intranational estimates of HIV prevalence in Kenya, Malawi, Mozambique and Tanzania based on spatial variables. The HIV prevalence maps generated highlight the stark spatial disparities in the epidemic within a country, and localize areas where both the burden and drivers of the HIV epidemic are concentrated. Under an era focused on optimal allocation of evidence-based interventions for populations at greatest risk in areas of greatest HIV burden, as proposed by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United States President’s Emergency Plan for AIDS Relief (PEPFAR), such maps provide essential information that strategically targets geographic areas and populations where resources can achieve the greatest impact. Nature Publishing Group UK 2017-08-22 /pmc/articles/PMC5567213/ /pubmed/28831171 http://dx.doi.org/10.1038/s41598-017-09464-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cuadros, Diego F.
Li, Jingjing
Branscum, Adam J.
Akullian, Adam
Jia, Peng
Mziray, Elizabeth N.
Tanser, Frank
Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
title Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
title_full Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
title_fullStr Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
title_full_unstemmed Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
title_short Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
title_sort mapping the spatial variability of hiv infection in sub-saharan africa: effective information for localized hiv prevention and control
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567213/
https://www.ncbi.nlm.nih.gov/pubmed/28831171
http://dx.doi.org/10.1038/s41598-017-09464-y
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