Numerical Simulation of the COVID-19 Herd Immunity Based on Complex Network Modeling
WANG Jialiang1a, LI Haibin1, LI Haiyan2
1. a. College of Sciences; b. Engineering Training Center of Inner Mongolia University of Technology, Hohhot 010051, China; 2. Department of Endocrinology the First Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, China
Abstract：Constructing an epidemic dynamic model and exploring the spreading law of epidemic have very important theoretical significance for epidemic prevention and control. Based on the existing homogeneous mixing model, in view of the increasingly obvious heterogeneity of individual contact relationships, and each individual is in a different contact relationship, a dynamic small-world network model that takes into account individual status. Contact tracking has been established to simulate the spread of the COVID-19 in society. By comparing the simulation results, the rationality of the built model is explained. On this basis, the simulation calculated the impact of the network topology and the proportion of vaccinated people on the spread of the COVID-19, analyzed the critical value of herd immunity. The established propagation model is reasonable, and feasible to achieve herd immunization by vaccination.
王佳亮, 李海滨, 李海燕. 基于复杂网络的新冠病毒群体免疫数值仿真[J]. 复杂系统与复杂性科学, 2023, 20(1): 27-33.
WANG Jialiang, LI Haibin, LI Haiyan. Numerical Simulation of the COVID-19 Herd Immunity Based on Complex Network Modeling. Complex Systems and Complexity Science, 2023, 20(1): 27-33.
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