id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-351580-129608e4	Shen, J.	A Recursive Bifurcation Model for Predicting the Peak of COVID-19 Virus Spread in United States and Germany	2020-04-14		.txt	text/plain	1847	115	60	title: A Recursive Bifurcation Model for Predicting the Peak of COVID-19 Virus Spread in United States and Germany By using this r value, we predict the infected population, , which is very close to the true data, y, as shown in Figure 2 author/funder, who has granted medRxiv a license to display the preprint in perpetuity. https://doi.org/10.1101/2020.04.09.20059329 doi: medRxiv preprint Furthermore, by using 1 in cycle 2 of Korea data, we also achieve an accurate prediction of infected population and validate to be close to unity (Figure 3) . Use a termination condition (Eq. 6) to estimate the peak time of virus spread Figure 4 shows the prediction result of infected population in United States. Our model predicts that the COVID-19 virus spread will approximately peak on April 26 and May 1, 2020, respectively for United States and Germany in terms of infected population.	./cache/cord-351580-129608e4.txt	./txt/cord-351580-129608e4.txt