id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-332828-a4ck2ddp	Alboaneen, Dabiah	Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia	2020-06-25		.txt	text/plain	2888	165	57	We used two models: the Logistic Growth and the Susceptible-Infected-Recovered for real-time forecasting the confirmed cases of COVID-19 across Saudi Arabia. This article aims to give a local prediction of the epidemic peak for COVID-19 in Saudi Arabia by using the real-time data from 2 March 2020 to 15 May 2020. In [18] , a mathematical model was developed to predict the effects of implementing government restrictions to contain COVID-19 epidemic on the number of infection cases in China. We present predictions for reported cases of COVID-19 in Saudi Arabia from 2 March to 15 May 2020 using mathematical modeling and simulation. Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data Estimating the unreported number of novel coronavirus (2019-nCoV) cases in China in the first half of January 2020: A data-driven Modelling analysis of the early outbreak	./cache/cord-332828-a4ck2ddp.txt	./txt/cord-332828-a4ck2ddp.txt