Table 1 Factors affecting cross-correlations and rolling correlation between Rt and mobity index
From: Evaluating the association between COVID-19 transmission and mobility in omicron outbreaks in China
Correlation | Wave | Factor | Within-city movement | Inter-city inflow | Inter-city outflow |
|---|---|---|---|---|---|
Cross-correlation | Wave 1 | Peak value of Rt | −0.07 (−0.32, 0.20) | −0.09 (−0.34, 0.18) | −0.05 (−0.31, 0.21) |
Outbreak Duration | −0.35 (−0.56, −0.10) | −0.37 (−0.58, −0.12) | −0.35 (−0.56, −0.10) | ||
Maximum value of GRI | 0.19 (−0.07, 0.43) | 0.20 (−0.06, 0.44) | 0.27 (0.01, 0.49) | ||
Wave 2 | Peak value of Rt | 0.31 (0.15, 0.45) | 0.24 (0.07, 0.39) | 0.12 (−0.04, 0.28) | |
Outbreak Duration | −0.22 (−0.37, −0.05) | −0.25 (−0.40, −0.09) | −0.21 (−0.36, −0.04) | ||
Maximum value of GRI | −0.03 (−0.20, 0.13) | −0.04 (−0.21, 0.12) | −0.05 (−0.22, 0.12) | ||
Rolling correlation(Fisher transformation) | Wave 1: Pre-peak stage | GRI | 0.13 (0.07, 0.20) | 0.06 (0.00, 0.11) | 0.09 (0.03, 0.15) |
Wave 1: Post-peak stage | GRI | −0.05 (−0.07, −0.03) | −0.05 (−0.06, −0.03) | −0.02 (−0.03, 0.00) | |
Wave 1 | Pre-peak | ref | ref | ref | |
Post-peak | 0.05 (−0.12, 0.23) | 0.33 (0.17, 0.50) | 0.25 (0.09, 0.42) |