id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-343701-x5rghsbs	Zhao, Yu-Feng	Prediction of the Number of Patients Infected with COVID-19 Based on Rolling Grey Verhulst Models	2020-06-25		.txt	text/plain	5030	241	53	Based on data from 21 January to 20 February 2020, six rolling grey Verhulst models were built using 7-, 8and 9-day data sequences to predict the daily growth trend of the number of patients confirmed with COVID-19 infection in China. On this basis, a rolling grey Verhulst model and its derived models were established to predict the change trend of the number of cases of COVID-19 infection in China. Based on a rolling mechanism, the rolling grey Verhulst model and its derived models for predicting the number of patients infected with COVID-19 in China were constructed by adding the latest data and removing the earliest data. The results showed that the rolling grey Verhulst model and its derived models could accurately predict the changes in the number of confirmed patients in China.	./cache/cord-343701-x5rghsbs.txt	./txt/cord-343701-x5rghsbs.txt