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

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dc.creatorGross, Thilo
dc.creatorKevrekidis, Ioannis G.
dc.date2007-02-24
dc.date2008-01-04
dc.date.accessioned2026-07-07T09:44:19Z
dc.date.available2026-07-07T09:44:19Z
dc.descriptionWe 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.
dc.descriptionrevised version 6 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/nlin/0702047
dc.identifierhttp://arxiv.org/abs/nlin/0702047
dc.identifierEurophysics Letters 82, 38004-6, 2008
dc.identifierdoi:10.1209/0295-5075/82/38004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/162833
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectSoft Condensed Matter
dc.subjectPhysics and Society
dc.titleRobust oscillations in SIS epidemics on adaptive networks: Coarse-graining by automated moment closure
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