Fig. 5: Transferring mobility-informed policies into massive transportation systems. | npj Complexity

Fig. 5: Transferring mobility-informed policies into massive transportation systems.

From: Human behavior-driven epidemic surveillance in urban landscapes

Fig. 5

a The spatial distribution of the Transmilenio stations in Bogotá (Colombia): colored areas correspond to the different patches whereas dots correspond to stations. The alignment of raw mobility flows with Transmilenio journeys is made by assigning (see Methods) the fraction of population of a patch making use of a particular station. Different situations of the assignment processes are highlighted in b: (I) all the population of a patch is assigned to the same station, (II) three stations serve a single patch, and (III) a single station serves the population of a collection of patches. Test positivity (c) and EWT (d) as a function on relative size of the pool of public transport users targeted for testing (relative to the city’s population) following 5 different surveillance strategies: prioritizing critical mobility links projected on the transportation network (black), the amount of daily users of each transport station (dark blue), the betweenness centrality of the stations (light blue), their eigenvector centralities (green) and randomly across all transportation users (gray dashed line). In these panels, solid lines represent the average quantities and the shadowed region constitute the 95% confidence interval for the results obtained for each scenario across 100 simulations.

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