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

T. Gross, I. G. Kevrekidis

Research output: Contribution to journalArticlepeer-review

76 Scopus citations

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 (US)
Article number38004
JournalEPL
Volume82
Issue number3
DOIs
StatePublished - May 1 2008

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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