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Title: Epidemic reemergence in adaptive complex networks
Authors: Zhou, J.
Xiao, G.
Cheong, S.A.
Fu, X.
Wong, L. 
Ma, S.
Cheng, T.H.
Issue Date: 2012
Citation: Zhou, J., Xiao, G., Cheong, S.A., Fu, X., Wong, L., Ma, S., Cheng, T.H. (2012). Epidemic reemergence in adaptive complex networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 85 (3). ScholarBank@NUS Repository.
Abstract: The dynamic nature of a system gives rise to dynamical features of epidemic spreading, such as oscillation and bistability. In this paper, by studying the epidemic spreading in growing networks, in which susceptible nodes may adaptively break the connections with infected ones yet avoid being isolated, we reveal a phenomenon, epidemic reemergence, where the number of infected nodes is incubated at a low level for a long time and then erupts for a short time. The process may repeat several times before the infection finally vanishes. Simulation results show that all three factors, namely the network growth, the connection breaking, and the isolation avoidance, are necessary for epidemic reemergence to happen. We present a simple theoretical analysis to explain the process of reemergence in detail. Our study may offer some useful insights, helping explain the phenomenon of repeated epidemic explosions. © 2012 American Physical Society.
Source Title: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
ISSN: 15393755
DOI: 10.1103/PhysRevE.85.036107
Appears in Collections:Staff Publications

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