id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-212912-t5v11gs0	Barwolff, Gunter	Prospects and limits of SIR-type Mathematical Models to Capture the COVID-19 Pandemic	2020-04-13		.txt	text/plain	1960	142	69	Especially a good choice of $beta$ as the number of others that one infected person encounters per unit time (per day) influences the adequateness of the results of the model. We use the European Centre for Disease Prevention and Control [2] as a data for the COVID-19 infected people for the period from December 31st 2019 to April 8th 2020. For the iterative Gauss-Newton method we guessed the respective periods for every country by a visual inspection of the graphs of the infected people over days. The numerical tests showed that a very early start of the lockdown resulting in a reduction of the infection rate β results in the typical Gaussian curve to be delayed by I; however, the amplitude (maximum value of I) doesn't really change. The interesting points in time are those where the acceleration of the numbers of infected people increases or decreases, respectively.	./cache/cord-212912-t5v11gs0.txt	./txt/cord-212912-t5v11gs0.txt