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

Abstract 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, t...

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Autores principales:	Diego F. Cuadros, Jingjing Li, Adam J. Branscum, Adam Akullian, Peng Jia, Elizabeth N. Mziray, Frank Tanser
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d2318e83afb64e8d9e35d175cf40ecd9
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spelling	oai:doaj.org-article:d2318e83afb64e8d9e35d175cf40ecd92021-12-02T15:05:16ZMapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control10.1038/s41598-017-09464-y2045-2322https://doaj.org/article/d2318e83afb64e8d9e35d175cf40ecd92017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09464-yhttps://doaj.org/toc/2045-2322Abstract 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.Diego F. CuadrosJingjing LiAdam J. BranscumAdam AkullianPeng JiaElizabeth N. MzirayFrank TanserNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Diego F. Cuadros Jingjing Li Adam J. Branscum Adam Akullian Peng Jia Elizabeth N. Mziray Frank Tanser Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control
description	Abstract 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.
format	article
author	Diego F. Cuadros Jingjing Li Adam J. Branscum Adam Akullian Peng Jia Elizabeth N. Mziray Frank Tanser
author_facet	Diego F. Cuadros Jingjing Li Adam J. Branscum Adam Akullian Peng Jia Elizabeth N. Mziray Frank Tanser
author_sort	Diego F. Cuadros
title	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_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_sort	mapping the spatial variability of hiv infection in sub-saharan africa: effective information for localized hiv prevention and control
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d2318e83afb64e8d9e35d175cf40ecd9
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Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control

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