@article{38116,
  keywords = {systems, dynamics},
  author = {Gross and Kevrekidis},
  title = {Robust oscillations in SIS epidemics on adaptive networks: Coarse graining by automated moment closure},
  abstract = { <p>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. Copyright (C) EPLA, 2008.</p> },
  year = {2008},
  journal = {Epl},
  volume = {82},
  pages = {38004},
  month = {05/2008},
  isbn = {0295-5075},
  language = {English},
}