id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-303601-o8uk6if2	Tsay, Calvin	Modeling, state estimation, and optimal control for the US COVID-19 outbreak	2020-07-01		.txt	text/plain	6180	331	49	This includes modeling the dynamics of affected populations, estimating the model parameters and hidden states from data, and an optimal control strategy for sequencing social distancing and testing events such that the number of infections is minimized. Figure 2 shows the predicted values obtained by solving the parameter estimation problem and the historical data by country, retrieved by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (https ://githu b.com/CSSEG ISand Data/COVID -19; accessed April 16, 2020). For the estimated parameter values as described previously, we simulate the results of implementing two different simplistic control policies: (i) continuing with strict social distancing, quarantining, and testing, policies that result from continuing to lower the asymptomatic ( α a ) and infected ( α i ) exposures shown in Fig. 2 ; and (ii) a relaxed policy with more lenient measures and reduced testing, in this case the values of α a and α i are increased to 0.2 and 0.02, respectively, while κ is decreased to 0.2.	./cache/cord-303601-o8uk6if2.txt	./txt/cord-303601-o8uk6if2.txt