id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-175085-nmuxnf7k	Mehrotra, Sanjay	A Model of Supply-Chain Decisions for Resource Sharing with an Application to Ventilator Allocation to Combat COVID-19	2020-04-03		.txt	text/plain	4538	260	57	The model is applied to study the allocation of ventilator inventory in the COVID-19 pandemic by the Federal Emergency Management Agency of the US Department of Homeland Security (FEMA) to different states in the US. The results also suggest that in the worse-than-average to severe demand scenario cases, NY requires between 7,600-9,200 additional ventilators for COVID-19 patients during its peak demand. Importantly, computational results from the model also provide estimates of the shortfall of ventilators in each state under different future demand scenarios. In this section, we present a multi-period planning model to allocate ventilators to different regions, based on their needs, for the treatment of critical patients. More precisely, we considered four different cases to generate random samples for the number of ventilators needed to care for COVID-19 patients. Specifically, the developed model is applicable to the current COVID-19 pandemic, where many US states are in dire need of mechanical ventilators to provide life-support to severely-and critically-ill patients.	./cache/cord-175085-nmuxnf7k.txt	./txt/cord-175085-nmuxnf7k.txt