Dynamics and control strategies of infectious disease under different scenarios on hierarchical geographical networks<xref rid="cpb_28_12_128901_fn1" ref-type="fn">*</xref><fn id="cpb_28_12_128901_fn1"><label>*</label><p>Project supported by the National Key R&D Program of China (Grant No. 2018YFF0301005), the National Natural Science Foundation of China (Grant Nos. 71673161 and 71790613), and the Collaborative Innovation Center of Public Safety, China.</p></fn>

Dynamics and control strategies of infectious disease under different scenarios on hierarchical geographical networks**

Project supported by the National Key R&D Program of China (Grant No. 2018YFF0301005), the National Natural Science Foundation of China (Grant Nos. 71673161 and 71790613), and the Collaborative Innovation Center of Public Safety, China.

Ma Xun^{1, 2, 3}, Cui Ya-Peng^{1, 2, 3}, Yan Xiao-Li^{1, 2, 3}, Ni Shun-Jiang^{1, 2, 3, †}, Shen Shi-Fei^{1, 2, 3}

Epidemic spreading under different preference for layers and location of infection source. (a) C(τ) and τ of agents in each layer under different μ. (b) C(τ) and τ of agents in each layer under different h_init. (c) Overall C(τ) and τ versus h_init under different μ. (d) Proportion of visitor-induced infection of nodes in each layer under different μ. (e) Proportion of visitor-induced infection of nodes in each layer under different h_init. Each point is generated from 500 simulations of global infection.