id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-338192-2v9dbc9h	Dai, J. D.	How many patients will need ventilators tomorrow?	2020-05-21		.txt	text/plain	3711	224	65	This algorithm is intended to be utilized by a large hospital or a group of coordinated hospitals at the end of each day (e.g. 8pm) when the current number of non-ventilated Covid-19 patients and the predicated number of Covid-19 admissions for tomorrow are available. In our simulation model that is calibrated with New York City's Covid-19 data, our predictions have consistently provided reliable estimates of the number of the ventilator-starts next day. . https://doi.org/10.1101/2020.05.18.20105783 doi: medRxiv preprint (a) For type 1 (never-vent), the length-of-stay is equal to the number of days in hospitalization, from admission to discharge. (b) For type 2 (vent-cure) and type 3 (vent-die) patients, the length-of-stay is equal to number of days in hospitalization before ventilation, from admission to ventilation. To verify the effectiveness of our proposed prediction model for vent-starts in a real hospital setting, we need to know the number of new patients on vents each day.	./cache/cord-338192-2v9dbc9h.txt	./txt/cord-338192-2v9dbc9h.txt