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

期刊：

作者：Diego F. Cuadros, Jingjing Li, Adam J. Branscum, Adam Akullian, Peng Jia, Elizabeth N. Mziray, Frank Tanser

发表时间：2017/08/22

数字识别码： 10.1038/s41598-017-09464-y

原文链接：

图1

图2

图3

图4

图5

摘要：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.

阅读论文全文请访问：

期刊介绍： () is an online, open access journal from the publishers of Nature. We publish scientifically valid primary research from all areas of the natural and clinical sciences.

The 2017 journal metrics for Scientific Reports are as follows:

•2-year impact factor: 4.122

•5-year impact factor: 4.609

•Immediacy index: 0.576

•Eigenfactor® score: 0.71896

•Article Influence Score: 1.356

•2-year Median: 2

（来源：明升手机版(明升中国)）