Individual-based approach to epidemic processes on arbitrary dynamic contact networks.

ABSTRACT: The dynamics of contact networks and epidemics of infectious diseases often occur on comparable time scales. Ignoring one of these time scales may provide an incomplete understanding of the population dynamics of the infection process. We develop an individual-based approximation for the susceptible-infected-recovered epidemic model applicable to arbitrary dynamic networks. Our framework provides, at the individual-level, the probability flow over time associated with the infection dynamics. This computationally efficient framework discards the correlation between the states of different nodes, yet provides accurate results in approximating direct numerical simulations. It naturally captures the temporal heterogeneities and correlations of contact sequences, fundamental ingredients regulat

SUBMITTER: Rocha LE 

PROVIDER: S-EPMC4999888 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature