Time delay in disease transmission via interactions of heterogeneous agents in Watts-Strogatz networks
Abstract
We analyze the effect of heterogeneity η ≡ ∆Ï/<Ï> of infection probability Ï on the transmission dynamics of a susceptible-infected (SI) epidemic model on a static and complex newtork. The different configurations of the complex network is achieved using the Watts-Strogatz network model (N nodes) that uses the rewiring probability pr : a regular (circular) lattice (pr = 0), a small-world network (1/N), and a completely random network (1). We compare the results of these networks to the fully-connected network of the same size N. The time when the infection spread through half of the completely susceptible population is assigned as T1/2 indicating how fast infection spreads over the population. We show that T1/2 of disease transmission to half of the population becomes delayed for increasing η. We further show that the propagation of disease in a completely homogeneous population η = 0 is significantly different from a completely heterogeneous population by conducting the Kolmogorov-Smirnov statistical test.
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