id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-316959-iua8c4hy	Zia, Kashif	COVID-19 Outbreak in Oman: Model-Driven Impact Analysis and Challenges	2020-04-06		.txt	text/plain	3446	247	65	Motivated by the rapid spread of COVID-19 all across the globe, we have performed simulations of a system dynamic epidemic spread model in different possible situations. The simulation, not only captures the model dynamic of the spread of the virus, but also, takes care of population and mobility data. For epidemics like corona-virus, SIR model was extended to SEIR [6] , introducing a new state exposed between susceptible and infectious. Hence, the simulation generated in data driven, in which a user is responsible of describing system dynamics model of the epidemic, whereas, all the relevant population and mobility global data in integrated at the server side. With a system dynamic model of epidemic spread, incorporated with population and mobility data, we performed simulation of many different cases of COVID-19 impact, representing different real situations. With a more representative population and mobility data about different regions of the country, we may see more cases and a longer impact.	./cache/cord-316959-iua8c4hy.txt	./txt/cord-316959-iua8c4hy.txt