Fig. 1: Mobility model and mixing of the population.
From: Human behavior-driven epidemic surveillance in urban landscapes
a Illustration of the mobility model here considered. We assume a metapopulation of P patches and construct the mobility network from daily back-and-forth movements recorded in public surveys. Each geographical patch i in the metapopulation is partitioned into different subgroups according to their usual destination, being nij the number of residents inside i daily commuting to patch j. b–e Mixing patterns of the subpopulation of nij residents in i with typical destination in j. When staying in their residential patch i, these residents might interact with others staying also there (b) and also with residents from other patches (c) that have as usual destination patch i. In turn, when moving, residents in i will interact with those residents from other patches: (d) either those that belong to the usual destination j and that decide not to move or (e) with residents of a patch l who also have as usual destination patch j.
