Extended Data Fig. 3: HIV prevalence map, standard error map, and 95% confidence interval maps.
From: Extreme geographic misalignment of healthcare resources and HIV treatment deserts in Malawi
a, HIV prevalence map. The map was created by using EBK to spatially interpolate cluster-level HIV prevalence estimates calculated using data from MPHIA2. b, Standard error (SE) map. c, Map showing 95% lower bound for HIV prevalence. d, Map showing 95% upper bound for HIV prevalence. Maps (a), (c), and (d) are plotted on the same scale. There are several places in central Malawi where the 95% lower bound falls below zero. This is to be expected—despite the SEs being fairly small (mean 0.03)—because HIV prevalence is as low as 0.02 in some areas. Validation statistics for the EBK model are provided in Supplementary Table 9.
