id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-256589-45g5cvwt	Al-Khani, A. M.	The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model	2020-06-02		.txt	text/plain	3074	201	59	Objective: Saudi Arabia ranks second in the number of coronavirus disease 2019 (COVID-19) cases in the Eastern Mediterranean region. A susceptible-exposed-infectious-recovered (SEIR) prediction model was constructed to predict the trend in COVID-19 in Saudi Arabia in the next 6 months. We name our prediction model KSA-CoV-19, and with it, aim to find the following: 1) the anticipated epidemic curve of SARS-CoV-2 in Saudi Arabia, 2) the peak, the end, and the number of COVID-19 cases associated with the curve, and 3) the timing of upcoming Hajj 2020 (July 28 th -August 2 nd ) in relation to the anticipated epidemic curve. . https://doi.org/10.1101/2020.06.01.20119800 doi: medRxiv preprint Finally, we generated a model that simulated the natural course or "free fall" of the SARS-CoV-2 virus in Saudi Arabia. In this paper, we generated four different models that provided an estimation for the COVID-19 course in Saudi Arabia.	./cache/cord-256589-45g5cvwt.txt	./txt/cord-256589-45g5cvwt.txt