id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-247144-crmfwjvf	Bodova, Katarina	Emerging Polynomial Growth Trends in COVID-19 Pandemic Data and Their Reconciliation with Compartment Based Models	2020-05-14		.txt	text/plain	6860	340	53	We observe that the time series of active cases in individual countries (the difference of the total number of confirmed infections and the sum of the total number of reported deaths and recovered cases) display a strong agreement with polynomial growth and at a later epidemic stage also with a combined polynomial growth with exponential decay. Note that the inflection points of the function I = I(t) are located at T ± I = (α ± √ α) T G , particularly the time t = T − I plays an important role in the observed epidemic data as it corresponds to a moment at which the growth of the number of active cases reaches its maximum and starts to decrease. The simple PGED model, i.e., the universal scaling 7 and nonlinear fitting of the parameters from the data, can be used for as a predictive tool for the number of the reported active cases, particularly in countries in the growth phase.	./cache/cord-247144-crmfwjvf.txt	./txt/cord-247144-crmfwjvf.txt