An SIR model with infection delay and propagation vector in complex networks

作者：Xia Chengyi; Wang Li; Sun Shiwen; Wang Juan

来源：Nonlinear Dynamics, 2012, 69(3): 927-934.

DOI：10.1007/s11071-011-0313-y

• SIR model
• Nonlinear differential equations
• Infection delay
• Propagation vector
• Complex networks

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.

• 出版日期2012-8
• 单位天津理工大学