Data for: Analysis of travel time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretrovirals

This is a repository of Source data used in the data analysis and generation of figures for the Communications Medicine article, "Analysis of travel-time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretrovirals" by JT Okano et al. It includes geospatial data in raster (.tif) format on HIV prevalence and Density of Infection as estimated from the Population-Based HIV Impact Assessment (PHIA) surveys conducted in Eswatini, Malawi, and Zambia in 2015–2016. It also includes tabular (.csv) data that can be used to plot Epidemic Concentration Curves and fitted Logistic cumulative distribution functions.

Methods
The HIV prevalence rasters were created in ArcGIS Pro (v. 3.2.2) using Empirical Bayesian Kriging, and were masked to country boundaries in R (v. 4.1.2). The Density of Infection maps were constructed in R by using raster multiplication to combine the HIV prevalence rasters with Population data from WorldPop. We also used R to construct the Epidemic Concentration Curves and to fit the logistic CDFs.