id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-234254-svjajpp4	Kohler, J.	Robust and optimal predictive control of the COVID-19 outbreak	2020-05-07		.txt	text/plain	13160	657	58	Our theoretical findings support various recent studies by showing that 1) adaptive feedback strategies are required to reliably contain the COVID-19 outbreak, 2) well-designed policies can significantly reduce the number of fatalities compared to simpler ones while keeping the amount of social distancing measures on the same level, and 3) imposing stronger social distancing measures early on is more effective and cheaper in the long run than opening up too soon and restoring stricter measures at a later time. Another example for an open-loop optimal policy applied to the COVID-19 pandemic is presented in [14] where the authors consider optimal control of the German outbreak using a slightly simpler model as the one chosen in the present paper (without distinguishing between detected and undetected individuals), which also includes an increased mortality rate if the ICU capacity is exceeded.	./cache/cord-234254-svjajpp4.txt	./txt/cord-234254-svjajpp4.txt