Abstract
Based on the SIR (Susceptible-Infected-Removed) model, we propose a novel epidemic model to investigate the impact of infection delay and propagation vector on the spreading behaviors in complex networks. Mean-field approximations and extensive numerical simulations indicate that the infection delay and propagation vector can largely reduce the critical threshold and promote the outbreak of epidemics, and even lead to the case that the infectious diseases transform from the disease-free state to endemic one. The current results are greatly instructive for us to further understand the epidemic spreading and design some effective prevention and containment strategies to fight the epidemics.
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Xia, C., Wang, L., Sun, S. et al. An SIR model with infection delay and propagation vector in complex networks. Nonlinear Dyn 69, 927–934 (2012). https://doi.org/10.1007/s11071-011-0313-y
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DOI: https://doi.org/10.1007/s11071-011-0313-y