id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-314466-6j4vuqer	Kim, A. S.	Transformed time series analysis of first-wave COVID-19: universal similarities found in the Group of Twenty (G20) Countries	2020-06-14		.txt	text/plain	7654	364	60	To investigate the universal similarities among the cumulative profiles of confirmed cases and deaths of 19 individual nations in the G20, a transformation algorithm of the time series data sets was developed with open-source software programs. After these statistical phenomena were viewed as identical events occurring at a distinct rate in each country, the reported algorithm of the data transformation using the reduced time revealed a nation-independent, universal profile (especially initial periods of the pandemic spread) from which a nation-specific, predictive estimation could be made and used to assist in immediate public-health policy-making. . https://doi.org/10.1101/2020.06.11.20128991 doi: medRxiv preprint CCC of the E6 Figure 2 (a) shows that not all E6 nations have a similar onset trend after a certain latency period, but most appear to follow Italy's profile after their CCC numbers exceed approximately no more than 100, denoted here as the default CCC threshold ν c = 100.	./cache/cord-314466-6j4vuqer.txt	./txt/cord-314466-6j4vuqer.txt