id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-291786-66c8xta0	He, Shaobo	SEIR modeling of the COVID-19 and its dynamics	2020-06-18		.txt	text/plain	5103	377	68	In this paper, a SEIR epidemic model for the COVID-19 is built according to some general control strategies, such as hospital, quarantine and external input. 3, the SEIR model is applied to the COVID-19 data of Hubei province where the PSO algorithm is introduced to estimate the parameters. In this section, through the actual COVID-19 data from Hubei province, the PSO algorithm is utilized to estimate the parameters of the proposed SEIR model to fit the real situation. The initial values setting of SEIR model is presented in Table 4 , where N is the total population of Hubei affected by the COVID-19 epidemic in January 24th, 2020, and E is calculated based on the number of confirmed patients. Moreover, the control measures for containing the Error ×10 4 Fig. 3 The error convergence curve of PSO algorithm in the inhibition stage outbreak are more and more powerful; thus, the system parameter should be time varying variables.	./cache/cord-291786-66c8xta0.txt	./txt/cord-291786-66c8xta0.txt