id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-297940-xp8uoj9z	Das, S. K.	Spread of COVID-19: Investigation of universal features in real data	2020-05-25		.txt	text/plain	3450	265	67	We present results on the existence of various common patterns in the growth of the total number of patients affected by COVID-19, a disease acquired through infection by a novel coronavirus, in different countries. Outcome of our study, for COVID-19, via application of this model, suggests that in most of the countries, after the 'onset' of spread, the growths are described by rapid exponential function, for significantly long periods. In addition to accurately identifying this superuniversal feature, we point out that the model is helpful in grouping countries into universality classes, based on the late time behavior, characterized by physical distancing practices, in a natural way. Outcome of our study, using real data [5], suggests that, for a large number of countries, the early time growth can be described by a prolonged "universal" exponential form, varying from country to country only via a metric factor.	./cache/cord-297940-xp8uoj9z.txt	./txt/cord-297940-xp8uoj9z.txt