Table 2 Linear Regression Models Predicting Number of Days to Highest Case and Death Count for Country-level Analysis (n = 41)
Method of Classifying Exposure Variable (Number of Days Between 1st Reported Case and Mandate) | Measured Effect on Peak A: Number of Days from First Reported Case to Highest Number of Daily New Cases ** | ||
|---|---|---|---|
Coefficient | 95% CI | P-value | |
Continuous Variable | 0.7 | 0.2, 1.1 | .000* |
Categorical Terciles: Early, middle, late | 10.2 | 1.6, 18.8 | .021* |
Early vs. middle/late | −13.1 | −28.5, 2.3 | .093 |
Middle vs. early/late | −4.2 | −19.9, 11.5 | .592 |
Late vs. early/middle | 17.4 | 2.5, 32.3 | .023* |
Categorical: Earliest 10% | −7.6 | −32.8, 17.5 | .543 |
Categorical: Latest 10% | 30.0 | 6.9, 53.2 | .012* |
Measured Effect on Peak B: Number of Days from First Reported Case to Highest Number of Daily New Deaths ** | |||
Coefficient | 95% CI | P-value | |
Continuous Variable | .5 | 0.2, 0.9 | .002* |
Categorical Terciles: Early, middle, late | 6.1 | −0.5, 12.6 | .068 |
Early vs. middle/late | −7.4 | −18.9, 4.1 | .201 |
Middle vs. early/late | −3.2 | −14.8, 8.4 | .582 |
Late vs. early/middle | 10.6 | −0.6, 21.9 | .063 |
Categorical: Earliest 10% | −4.7 | −23.3, 8.5 | .609 |
Categorical: Latest 10% | 26.3 | 9.9, 42.7 | .002* |