Author: Wenlei Xiao; Qiang Liu; J Huan; Pengpeng Sun; Liuquan Wang; Chenxin Zang; Sanying Zhu; Liansheng Gao
Title: A Cybernetics-based Dynamic Infection Model for Analyzing SARS-COV-2 Infection Stability and Predicting Uncontrollable Risks Document date: 2020_3_17
ID: 2v5wkjrq_24
Snippet: The copyright holder for this preprint : Effective infectious increment (can be negative); : Total non-isolated cases (asymptomatic carriers); : Patient increment (symptom onset); : Total isolated cases (confirmed patients after symptom onset); Figure 4 : Basic principle of the cybernetics-based dynamic infection model be made. For example, as SARS-COV-2 is contagious in its incubation, it is spreading much faster than SARS and more hard to be co.....
Document: The copyright holder for this preprint : Effective infectious increment (can be negative); : Total non-isolated cases (asymptomatic carriers); : Patient increment (symptom onset); : Total isolated cases (confirmed patients after symptom onset); Figure 4 : Basic principle of the cybernetics-based dynamic infection model be made. For example, as SARS-COV-2 is contagious in its incubation, it is spreading much faster than SARS and more hard to be controlled. Consequently, experiences from SARS should not be simply copied to control the current status. This is very important issue at the early stage that should be but was not emphasized in Hubei province.
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