id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-289647-14ba5sro	Panuganti, Bharat A.	Predicting COVID-19 Incidence Using Anosmia and Other COVID-19 Symptomatology: Preliminary Analysis Using Google and Twitter	2020-06-02		.txt	text/plain	3223	125	40	To quantify the effect of mass media communications on the correlation between smell loss tweets, searches, and COVID-19 incidence, we excluded March 22 to March 24 to obtain new Spearman correlation coefficients. The correlation between COVID-19 incidence and searches pertaining smell loss (0.524) was less robust than searches about nonsmell symptoms (0.744) and COVID-19 (0.893).	cache/cord-289647-14ba5sro.txt	txt/cord-289647-14ba5sro.txt
