id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-275457-buq2d4k2	Jannes, G.	Beta regression with spatio-temporal effects as a tool for hospital impact analysis of initial phase epidemics: the case of COVID-19 in Spain	2020-06-29		.txt	text/plain	8321	458	58	First, a Beta distribution will describe the probability function for all possible values of the ratios of interest; second, a logistic distribution will be used to estimate the time evolution of raw data of diagnosed, hospitalized, ICU patients, and recovered patients; third and foremost, a Beta regression will be used to develop a prediction method for the ratios described earlier based on their lagged values and on the proportion of recovered patients. These auxiliary results are used as input for the third and main step, namely the Beta regression in which the ratios and their evolution is predicted, and which also includes an analysis of the temporal patterns and spatial effects in the variance of the modelization. The Beta regression model developed here depends on the 1-day lagged value of the Hosp/Cases and ICU/Hosp ratios, as well as the patient recovery rate.	./cache/cord-275457-buq2d4k2.txt	./txt/cord-275457-buq2d4k2.txt