id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-351030-jqqxqjzf	Rui, M.	A Sparse Gaussian Network Model for Prediction the Growth Trend of COVID-19 Overseas Import Case: When can Hong Kong Lift the International Traffic Blockad?	2020-05-16		.txt	text/plain	3647	248	60	title: A Sparse Gaussian Network Model for Prediction the Growth Trend of COVID-19 Overseas Import Case: When can Hong Kong Lift the International Traffic Blockad? This article establishes an epidemic spread relationship network between Hong Kong and various countries and regions around the world and build a regression model based on network information to fit Hong Kong's COV-19 epidemic growth data. Therefore, this article first uses the SEIJR model to predict the growth curve of the number of local diagnoses in countries and regions related to Hong Kong. This result shows that we can use the data based on the relation network to fit the existing case growth situation in Hong Kong. 13.20099978 doi: medRxiv preprint Finally, we used the SEJIR model to simulate the cumulative case growth data of 23 countries and regions related to Hong Kong.	./cache/cord-351030-jqqxqjzf.txt	./txt/cord-351030-jqqxqjzf.txt