寄主(生物学)
复杂网络
基本再生数
传输(电信)
理论(学习稳定性)
计算机科学
功能(生物学)
比例(比率)
流行病模型
无标度网络
联动装置(软件)
领域(数学)
复杂系统
统计物理学
拓扑(电路)
数学
生物
物理
进化生物学
生态学
纯数学
电信
人工智能
遗传学
组合数学
人口
社会学
万维网
量子力学
机器学习
人口学
基因
作者
Junyuan Yang,Xinyi Duan,Xue-Zhi Li
标识
DOI:10.1016/j.cnsns.2023.107116
摘要
Multi-scale models provide a new insight into the interplays of the kinetics of within hosts and the transmission of between hosts. In this paper, we adopt the nested approach to get a linkage between the within- and between-host systems, and then propose a mean-field communicable disease model on complex networks. Then, we rigorously study the existence of the solution of the multi-scale epidemic model on complex networks and completely establish the stability of each feasible equilibrium of the within- and between-host subsystems. Numerical simulations suggest that the basic reproduction number of the between-host system R0B is an increasing function of the basic reproduction number of the within-host system R0T and the final epidemic size is an increasing function of R0B. Finally, we find that the topological structures of networks play a significant role in the transmission patterns of an infection.
科研通智能强力驱动
Strongly Powered by AbleSci AI