Robust oscillations in SIS epidemics on adaptive networks: Coarse graining by automated moment closure

Thilo Gross, Ioannis G. Kevrekidis

Research output: Contribution to journalArticle (Academic Journal)peer-review

77 Citations (Scopus)

Abstract

We investigate the dynamics of an epidemiological susceptible-infected-susceptible (SIS) model on an adaptive network. This model combines epidemic spreading (dynamics on the network) with rewiring of network connections (topological evolution of the network). We propose and implement a computational approach that enables us to study the dynamics of the network directly on an emergent, coarse-grained level. The approach sidesteps the derivation of closed low-dimensional approximations. Our investigations reveal that global coupling, which enters through the awareness of the population to the disease, can result in robust large-amplitude oscillations of the state and topology of the network.
Original languageEnglish
Article number38004
Number of pages6
JournalEPL
DOIs
Publication statusPublished - 2008

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