Table A2.

The dataset of Piedmont (Turin), according to results of MLR, [100,101].

X1, Average Temperature, °C	X2, Humidity, %	X3, Wind, km/h	X4, Positive Cases up to 14 Days before	X4 new (Urban Parameter) *	Y, Confirmed Cases
[Shifted 6 Days (24-Feb to 18-Mar)]	[Shifted 9 Days (21-Feb to 15-Mar)]	[Shifted 9 Days (21-Feb to 15-Mar)]	[Shifted 2 Days (28-Feb to 22-Mar)]	[Shifted 2 Days (28-Feb to 22-Mar]	[1-Mar to 24-Mar]
5.2	72.7	2.9	10	1720	38
10.2	63.2	3.2	10	1720	2
7.0	73.4	3.0	48	8256	5
2.9	78.3	4.3	50	8600	26
2.7	78.7	5.1	55	9460	26
3.5	64.7	14.3	81	13932	35
4.6	39.6	13.7	107	18404	64
3.1	58.7	6.3	142	24424	153
3.8	49	3.8	206	35432	-
4.1	72.4	4.3	359	61748	103
4.8	80.6	4.3	359	61748	48
2.6	78.1	7.5	462	79464	79
2.5	51.9	4.9	510	87720	260
4.9	58.1	6.3	588	101136	33
5.8	90.0	5.4	839	144308	238
4.1	72.8	3.7	872	149984	405
7.2	48.9	5.2	1072	184384	381
9.8	62.6	4.3	1475	253700	444
11.0	70.0	5.0	1851	318372	591
9.4	55.0	4.5	2269	390268	529
6.6	74.7	3.6	2834	487448	291
7.1	83.4	3.0	3328	572416	668
5.8	84.4	6.7	3555	611460	441
7.5	84.2	3.8	4070	700040	654

* Urban parameter is population density * positive cases up to 14 days before. $y=288.108+9.740{\mathrm{x}}_1-3.219{\mathrm{x}}_2-8.188{\mathrm{x}}_3+0.151{\mathrm{x}}_4$, R² = 0.79.