id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-321727-xyowl659	Wang, Lishi	Real-time estimation and prediction of mortality caused by COVID-19 with patient information based algorithm	2020-07-20		.txt	text/plain	5124	296	65	We report a new methodology, the Patient Information Based Algorithm (PIBA), for estimating the death rate of a disease in real-time using publicly available data collected during an outbreak. PIBA estimated the death rate based on data of the patients in Wuhan and then in other cities throughout China. The death rates based on PIBA were used to predict the daily numbers of deaths since the week of February 25, 2020, in China overall, Hubei province, Wuhan city, and the rest of the country except Hubei province. The PIBA uses patient data in real-time to build a model that estimates and predicts death rates for the near future. Based on the days between confirmation of COVID-19 and the days of death in the hospital, calculated from Wuhan, as mentioned in method 1 and information from the whole country and Hubei Province, we tested the number of days from diagnosis to death, that most likely reflects the actual death rate.	./cache/cord-321727-xyowl659.txt	./txt/cord-321727-xyowl659.txt