“…In studying past epidemics, scientists have systematically applied “random mixing” models which assume that an infectious individual may spread the disease to any susceptible member of the population, as originally considered by Kermack and McKendrick [1] . More recent modeling approaches considered contact networks in which the epidemic spreads only across the edges of a contact network within a population [2] , [3] , [4] , Bayesian inference models [5] , models of spatial contacts in real cities or countries or in large-scale artificial cities and synthetic populations [6] , [7] , [8] , and computational predictions of protein structures [9] , to name just a few of the modeling efforts.…”