id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-268779-qbn3i2nq	Alrasheed, Hend	COVID-19 Spread in Saudi Arabia: Modeling, Simulation and Analysis	2020-10-23		.txt	text/plain	10876	628	53	In this work, we propose a simulation model for the spread of Coronavirus Disease 2019 (COVID-19) in Saudi Arabia using a network-based epidemic model. The proposed model was used to evaluate the effectiveness of the control measures employed by the Saudi government, to predict the future dynamics of the disease in Saudi Arabia according to different scenarios, and to investigate multiple vaccination strategies. We aimed to match the model simulations with empirical data and then used the model to evaluate the effectiveness of the control measures employed by the Saudi government, to predict the future dynamics of the disease in Saudi Arabia according to different scenarios, and to predict the percentage of individuals that must be vaccinated to stop the outbreak (when a vaccine becomes available). Volz [35] modeled SIR dynamics on a static random network, which represents the population structure of susceptible and infected individuals and their contact patterns with an arbitrary degree distribution.	./cache/cord-268779-qbn3i2nq.txt	./txt/cord-268779-qbn3i2nq.txt