id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-318525-nc5rtwtd	Smeets, Bart	Scaling analysis of COVID-19 spreading based on Belgian hospitalization data	2020-03-30		.txt	text/plain	2602	153	55	Studies on the outbreak of COVID-19 in the Hubei province and the rest of mainland China show that the temporal evolution of confirmed cases can be classified in three distinct regimes: 1) an initial exponential growth phase, 2) an extended phase of power law growth kinetics indicative of a small world network structure, with a universal growth exponent of µ ≈ 2.1, and 3) a slow inflection to a plateau phase, following a parabolic profile in double logarithmic scale [1] . This model was recently extended to include symptomatic quarantined individuals (X), resulting in the 'SIR-X' model, which was successfully applied to predict the spreading kinetics and assess containment policies for COVID-19 in China [4] , and is currently being used to monitor the number of confirmed COVID-19 cases in various countries [5] .	./cache/cord-318525-nc5rtwtd.txt	./txt/cord-318525-nc5rtwtd.txt