Table 3.

Pearson correlation coefficients (r) between COVID-19 cases and Google Trends data in the 20 Italian regions for March 2-9; March 2-10; March 2-11; March 2-12.

Region	March 2-9		March 2-10		March 2-11		March 2-12
	r	P value	r	P value	r	P value	r	P value
Lombardia	0.8987	.002	0.8876	.001	0.8625	.001	0.7502	.008
Emilia-Romagna	0.9017	.002	0.8839	.002	0.8798	<.001	0.8292	.002
Veneto	0.9117	.002	0.9230	<.001	0.9139	<.001	0.7960	.003
Piedmont	0.9494	<.001	0.8690	.002	0.8545	.002	0.7537	.007
Marche	0.8770	.005	0.8301	.006	0.8384	.002	0.7551	.007
Liguria	0.8739	.002	0.8451	.004	0.8042	.005	0.6810	.02
Campania	0.9506	<.001	0.9289	<.001	0.9175	<.001	0.8616	<.001
Toscana	0.9073	.002	0.8279	.006	0.8274	.003	0.7529	.007
Lazio	0.9458	<.001	0.9243	<.001	0.8883	<.001	0.7712	.005
Friuli	0.9310	<.001	0.9407	<.001	0.9284	<.001	0.8493	<.001
Trento	0.8722	.005	0.7934	.01	0.7364	.02	0.6978	.02
Apulia	0.9092	.002	0.9005	<.001	0.8573	.002	0.7894	.004
Sicily	0.9725	<.001	0.9691	<.001	0.9510	<.001	0.8604	<.001
Abruzzo	0.8720	.005	0.8523	.004	0.8685	.001	0.6261	.04
Umbria	0.8775	.004	0.8636	.003	0.8158	.004	0.7104	.01
Aosta	0.8704	.005	0.8179	.007	0.7870	.007	0.5679	.07
Sardinia	0.9170	.001	0.9047	<.001	0.7676	.009	0.7268	.01
Calabria	0.9054	.002	0.9004	<.001	0.8413	.002	0.7197	.01
Molise	0.7101	.048	0.7382	.02	0.7160	.02	0.6764	.02
Basilicata	0.8881	.003	0.7884	.01	0.8306	.003	0.8278	.002