Unveiling Spatial Epidemiology of HIV with Mobile Phone Data.

ABSTRACT: An increasing amount of geo-referenced mobile phone data enables the identification of behavioral patterns, habits and movements of people. With this data, we can extract the knowledge potentially useful for many applications including the one tackled in this study - understanding spatial variation of epidemics. We explored the datasets collected by a cell phone service provider and linked them to spatial HIV prevalence rates estimated from publicly available surveys. For that purpose, 224 features were extracted from mobility and connectivity traces and related to the level of HIV epidemic in 50 Ivory Coast departments. By means of regression models, we evaluated predictive ability of extracted features. Several models predicted HIV prevalence that are highly correlated (>0.7) with actual

SUBMITTER: Brdar S 

PROVIDER: S-EPMC4725841 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature