id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-339649-ppgmmeuz	Klein, Michael G.	COVID-19 Models for Hospital Surge Capacity Planning: A Systematic Review	2020-09-10		.txt	text/plain	4182	240	49	CONCLUSION: The results of our study provide information to physicians, hospital administrators, emergency response personnel, and governmental agencies on available models for preparing scenario-based plans for responding to the COVID-19 or similar type of outbreak. For each user-defined scenario, these tools identify an epidemic curve of the expected number of COVID-19 cases per day and the expected hospital occupancy per day in medical-surgical wards and ICUs. We provide the input parameters, highlight key features, and explain the output that can be produced from each model. This online tool provides an estimate of the maximum manageable daily number of incident COVID-19 cases that a health care system could serve based on an age-stratified case distribution and severity, as well as available medical resources, such as the number of available acute and critical care beds. The main goal of this review was to identify models that can project both COVID-19 caseload and surge capacity requirements over time for hospital level analysis with parameters including LOS, occupancy, and ventilator capacity.	./cache/cord-339649-ppgmmeuz.txt	./txt/cord-339649-ppgmmeuz.txt