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Mapping HIV epidemics in sub-Saharan Africa with use of GPS data

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Presentation on theme: "Mapping HIV epidemics in sub-Saharan Africa with use of GPS data"— Presentation transcript:

1 Mapping HIV epidemics in sub-Saharan Africa with use of GPS data
Brian J Coburn, Sally Blower  The Lancet Global Health  Volume 1, Issue 5, Pages e251-e253 (November 2013) DOI: /S X(13) Copyright © 2013 Coburn et al. Open Access article distributed under the terms of CC BY-NC-ND Terms and Conditions

2 Figure Geospatial mapping of Maseru, Lesotho
(A) Road networks (grey lines) and Demographic and Health Survey sample sites for urban (blue dots) and rural (red dots) locations. (B) Kriging map of HIV surface prevalence. Prevalence ranges from 11% (blue) to 35% (red). (C) Standard error map of Kriging estimates. (D) Density-of-infection map showing the number of HIV-infected individuals (aged 15–49 years) at a resolution of 100 m2. The Lancet Global Health 2013 1, e251-e253DOI: ( /S X(13) ) Copyright © 2013 Coburn et al. Open Access article distributed under the terms of CC BY-NC-ND Terms and Conditions


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