A Cybernetics-based Dynamic Infection Model for Analyzing SARS-COV-2 Infection Stability and Predicting Uncontrollable Risks

Wenlei Xiao; Qiang Liu; J Huan; Pengpeng Sun; Liuquan Wang; Chenxin Zang; Sanying Zhu; Liansheng Gao

In the view of modeling, there exists indeed far more advanced theories and methods in the field of control engineering. Its development is mainly benefited from the industry revolution, so that it has become a ubiquitous technology in nearly all automatic machines. In the 1940s, contemporary cybernetics began as an interdisciplinary study connecting wide fields of control systems, electrical network theory, mechanical engineering, logic modeling, evolutionary biology and neuroscience. It certainly could be employed to model the spread of epidemic. Fig. 2 gives the comparison between the current modeling methods in use for epidemic and mechanical systems. Obviously, it can be seen that the cybernetics-based modeling methods can provide more diversity in describing a system. Not only can the system be better depicted, but also can the modeling work be significantly simplified.