id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-255119-l82o5fif	Passerini, Giorgio	A Preliminary Investigation on the Statistical Correlations between SARS-CoV-2 Spread and Local Meteorology	2020-06-05		.txt	text/plain	7607	387	52	The statistical correlation between meteorological parameters and the spread of Coronavirus Disease-2019 (COVID-19) was investigated in five provinces of Italy selected according to the number of infected individuals and the different trends of infection in the early stages of the epidemic: Bergamo and Brescia showed some of the highest trends of infections while nearby Cremona and Mantova, showed lower trends. The Pearson correlation coefficient (PCC) was calculated to evaluate possible relations between the moving means of the meteorological parameters (i.e., temperature, and relative humidity) and the moving mean of adjusted/unadjusted new daily cases. The most inclusive and impressive results are the values of PCC found for the time series related to the number of new daily infected individuals within the five selected Italian provinces, the daily mean temperatures as monitored at the related capitals, and the daily mean relative humidity values observed at the same stations.	./cache/cord-255119-l82o5fif.txt	./txt/cord-255119-l82o5fif.txt