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. 2020 Sep 3;9(4):454–487. doi: 10.1016/j.hlpt.2020.08.019

Table 2.

Mean comparison of daily reported deaths throughout the period of each single policy (two-sample t-test with unequal variances).

Escalation De-escalation
Region 2 vs 1 3 vs 2 3 vs 2 4 vs 3 3exit vs 4 2exit vs 3exit 1 exit vs 2 exit
(Italy) (Lombardy, Veneto, Emilia-Romagna) (Italy) (Italy) Italy
Piedmont Diff=1
*95%
t = 2.23
Diff=16.92
*95%
t = 5.88
Diff=49.84
*95%
t = 10.67
Diff=−33.78
*95%
t=−7.33
Diff=−16.94
*95%
t=−4.47
Diff= −13.0
*95%
t= −4.8
Aosta Valley Diff=0.62
*95%
t = 2.55
Diff=2.43
*95%
t = 4.98
Diff=−2.73
*95%
t=−6.17
Diff=−0.25
95%
t=−1.71
Diff= −0.01
95%
t= −0.14
Lombardy Diff=4.9
*95%
t = 2.57
Diff=163.98
*95%
t = 4.97
Diff=163.98
*95%
t = 4.97
Diff=90.08
*95%
t = 2.38
Diff=−165.20
*95%
t=−7.26
Diff=−53.0
*95%
t=−3.78
Diff= −29.74
*95%
t= −5.40
P.A. Trento Diff=2.15
95%
t = 1.86
Diff=7.17
*95%
t = 5.13
Diff=49.84
*95%
t = 10.67
Diff=−1.25
*95%
t= −3.16
Diff= −0.53
*95%
t= −2.53
P.A. Bolzano Diff=1.53
*95%
t = 3.83
Diff=4.53
*95%
t = 4.37
Diff=−5.37
*95%
t=−5.29
Diff=−0.63
95%
t= −1.90
Diff= −0.02
*95%
t= −0.41
Veneto Diff=0.2
95%
t = 1.5
Diff=7.74
*95%
t = 5.57
Diff=7.74
*95%
t = 5.57
Diff=23.92
*95%
t = 11.14
Diff=−11.32
*95%
t=−4.16
Diff=−12.42
*95%
t=−5.13
Diff= −5.59
*95%
t= −4.88
Friuli Venezia Giulia Diff=0.2
95%
t = 1.00
Diff=2.95
*95%
t = 13.78
Diff=2.77
*95%
t = 3.31
Diff=−4.23
*95%
t=−7.42
Diff=−0.69
95%
t=−1.73
Diff= −0.85
*95%
t= −3.66
Liguria Diff=0.97
*95%
t = 2.16
Diff=10.23
*95%
t = 3.50
Diff=13.35
*95%
t = 4.17
Diff=−14.04
*95%
t=−8.93
Diff=−3.36
*95%
t= −3.33
Diff= −5.55
*95%
t= −7.37
Emilia Romagna Diff=1.8
*95%
t = 2.47
Diff=36.92
*95%
t = 5.21
Diff=36.92
*95%
t = 17.36
Diff=29.35
*95%
t = 3.75
Diff=43.61
*95%
t=−11.0
Diff=−14.10
*95%
t= −6.48
Diff= −7.81
*95%
t= −9.73
Tuscany Diff=5.53
*95%
t = 2.70
Diff=13.07
*95%
t = 5.8
Diff=−10.37
*95%
t = 7.10
Diff= −3.87
*95%
t= −3.27
Diff =−3.1
*95%
t= −6.39
Umbria Diff=0.76
95%
t = 1.81
Diff=0.58
95%
t = 1.83
Diff=−0.96
*95%
t=−3.19
Diff= −0.21
95%
t= −1.02
Diff= −0.11
95%
t= −1.10
Marche Diff=0.93
*95%
t = 2.09
Diff=10.30
*95%
t = 4.76
Diff=6.67
*95%
t = 2.42
Diff=−13.75
*95%
t = 7.61
Diff= −3.28
*95%
t= −6.84
Diff= −0.82
*95%
t= −3.25
Lazio Diff=0.6
95%
t = 1.50
Diff=3.01
*95%
t = 3.72
Diff=7.04
*95%
t = 5.84
Diff=−2.43
95%
t=−1.41
Diff=- 0.95
95%
t= −0.61
Diff= −5.35
*95%
t= −5.89
Abruzzo Diff1.69
*95%
t = 3.03
Diff=5.48
*95%
t = 7.16
Diff=−3.08
*95%
t=−4.33
Diff= −2.31
*95%
t= −3.78
Diff= −0.79
95%
t= −1.21
Molise Diff=0.54
*95%
T = 2.00
Diff=−0.19
95%
t=−0.67
Diff=−0.35
*95%
t=−4.32
Diff=0.02
95%
t = 1.00
Campania Diff=1.69
*95%
t = 2.38
Diff=6.26
*95%
t = 5.93
Diff=−5.49
95%
t=−0.59
Diff= −1.34
95%
t= −1.95
Diff= −0.78
*95%
t= −2.55
Apulia Diff=0.6
*95%
t = 2.45
Diff=1.4
95%
t = 1.89
Diff=6.53
*95%
t = 7.18
Diff=−6.19
*95%
t=−6.21
Diff= −0.35
95%
t= −0.50
Diff= −1.92
*95%
T=−3.89
Basilicata Diff=0.58
*95%
t = 5.21
Diff=−0.43
*95%
t=−2.81
Diff= −0.15
95%
t= −1.47
Diff=0.02
95%
t = 1.00
Calabria Diff=0.38
*95%
t = 2.13
Diff=1.57
*95%
t = 4.75
Diff=−1.41
*95%
t=−4.04
Diff= −0.42
95%
t= −1.83
Diff= −0.11
95%
t=−1.46
Sicily Diff=0.46
*95%
t = 2.14
Diff=5.03
*95%
t = 9.36
Diff=−3.72
*95%
t=−6.21
Diff=- 1.18
*95%
t= −3.15
Diff=−0.45
*95%
t= −2.9
Sardinia Diff=0.31
95%
t = 1.48
Diff=2.37
*95%
t = 6.01
Diff=−2.21
*95%
t=−4.34
Diff=- −0.11
95%
t= −0.26
Diff= −0.28
*95%
t= −2.32

Note:.

= p<0.05. Empty cells are reported for those Regions with no cases between the interventions.