id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-339874-not2z6q6	Kumar, Ankush	Modeling geographical spread of COVID-19 in India using network-based approach	2020-04-27		.txt	text/plain	2331	119	51	India is a large country, with a highly variable inter-state mobility, and dynamically varying infection cases in different locations; thus, the existing models, based solely on the aspects of growth rates, or generalized network concepts, may not provide desired predictions. In India, the mobility towards professional sites can surge incoming cases at Maharastra and Karnataka, while migration towards the native places can risk Uttar Pradesh and Bihar. To model COVID-19 spread in India, here we use the states and union territories as components and their reported positive cases as the number of people infected. The passenger's air-transport analysis and regular transport based on migration map (case(c)), both predict that Uttar Pradesh, Bihar, and Karnataka could receive a significantly higher number of cases. The present work proposes a network-based model for predicting the spread of COVID-19, incorporating human mobility through knowledge on migration and air-transport.	./cache/cord-339874-not2z6q6.txt	./txt/cord-339874-not2z6q6.txt