id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-326721-2v5wkjrq	Xiao, Wenlei	A Cybernetics-based Dynamic Infection Model for Analyzing SARS-COV-2 Infection Stability and Predicting Uncontrollable Risks	2020-03-17		.txt	text/plain	4478	282	57	Distinguished with other epidemiological models, such as SIR, SEIR, etc., that compute the theoretical number of infected people in a closed population, CDIM considers the immigration and emigration population as system inputs, and administrative and medical resources as dynamic control variables. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint : Effective infectious increment (can be negative); : Total non-isolated cases (asymptomatic carriers); : Patient increment (symptom onset); : Total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. In the view of this, we used the data from Shanghai, a relatively well controlled city, to identify and calibrate the key parameters of the incubation period and the basic reproductive number. In Shanghai Model, there is no worry about the shortage of medical supplies, so a negative summation channel performs a direct control effect on the positive feedback infection loop, which is thus of paramount importance in reducing the number of total infectious cases.	./cache/cord-326721-2v5wkjrq.txt	./txt/cord-326721-2v5wkjrq.txt