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}

Impact of preference for layers on human moving behavior. (a) The move-length distribution of agents under different μ, where the move length is measured by the Euclidean distance. (b) The proportion of global moves as a function of μ. (c) The number of intermediate nodes in a move of residents of each layer under different μ. All the results are averaged by 100 runs, each of which lasts for 10³ time steps.