Fig. 5
From: What can urban mobility data reveal about the spatial distribution of infection in a single city?
The change in infection distributions, classified by magnitude and direction, for δC=0.33 and \(\delta _{i}^{H} = 0.1\). Results are shown relative to the spatially-uniform scenario. The GPS data and private journeys to work data exhibit similar trends, where increases in disease occur along a north-west to south-east axis, extending beyond the inner-most SA4 regions, and moderate to large decreases in disease in the outer-most regions and inner north-east. The public journeys to work data exhibit a greater concentration of disease in and around the CBD, and also in the inner-east, but without increases in the north-west or south-east