id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-270249-miys1fve	Liu, Xianbo	COVID-19: data-driven dynamics, statistical and distributed delay models, and observations	2020-08-06		.txt	text/plain	8122	407	56	Based on the parameter identification approach described in this section, the COVID-19 infection dynamics for several countries from North America, South America, Europe, and Asia is found to be captured well by using the generalized logistic function Fig. 4 . By contrast, the outcome of composite global model shown in Fig. 9 , which is comprised of 148 identified sub-models, matches the worldwide COVID-19 data with good consistency for both the total number of infection cases and daily increments. The quarantine rate ζ and the infection rate β are the only two parameters that the authors can use to control against the spreading of the virus in the improved SEIQR model with distributed time delays, given by Eqs. (iii) Based on the data-driven COVID-19 dynamics studied with the distributed delay model, it is evident the measures taken in countries such as China and South Korea were effective in dropping the reproduction number R 1 to be below 0.5.	./cache/cord-270249-miys1fve.txt	./txt/cord-270249-miys1fve.txt