id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fueconorg-7624	Jošić, Hrvoje; Žmuk, Berislav	ASSESSING THE QUALITY OF COVID-19 DATA: EVIDENCE FROM NEWCOMB-BENFORD LAW	2021	22	.pdf	application/pdf	7302	335	55	A reasonable assumption will be that COVID-19 new case numbers should follow the Newcomb-Benford Law distribution. The methodology displayed in this paper could be additionally improved in order to include government measures for preventing the disease through limitation of social contacts and lockdowns, in testing the compliance of COVID-19 data distribution with the Newcomb-Benford Law distribution.	cache/fueconorg-7624.pdf	txt/fueconorg-7624.txt