id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-313675-fsjze3t2	Aslan, ibrahim Halil	Modeling COVID-19: Forecasting and analyzing the dynamics of the outbreak in Hubei and Turkey	2020-04-15		.txt	text/plain	5664	319	62	We provide forecasts for the peak of the outbreak and the total number of cases/deaths in Turkey, for varying levels of social distancing, quarantine, and COVID-19 testing. In addition, we also provide 15-day forecasts of the fatality rate of the outbreak, the number of cases, and the number of deaths depending on the data (Chinese physicians, 2020; Coronavirus COVID-19 Global Cases by Johns Hopkins CSSE, 2020; World Health Organization, 2020b) and outputs of our SEIQR model. The rate of reported cases i q denotes the number of individuals who transition from the infected class I to the reported class I q per day; it is also directly related to the daily number of COVID-19 tests carried out during the outbreak. In this part, we estimate the parameters in the system (1), so we fit our model with the daily reported cumulative number of cases and deaths, which are provided by (World Health Organization, 2020b) and (Chinese physicians, 2020).	./cache/cord-313675-fsjze3t2.txt	./txt/cord-313675-fsjze3t2.txt