Fig. 1
From: Bayesian adaptive algorithms for locating HIV mobile testing services

Example of grid of true underlying prevalences of undiagnosed HIV infection. The values in the individual squares represent the starting value (t = 0) of prevalences of undiagnosed HIV infection (UP, (t)) for each zone. Each iteration of a given data simulation setting starts with a new formulation of this grid and this is a representative sample of a grid for the base case with low correlation and 20% hotspots on average (although this single example from the base case has 30% hotspots). All strategies start with the same grid in any given iteration