Table 2 Percentage of the variance of the instantaneous reproduction number (\({R}_{t}\)) explained by the drivers, across respective provinces from 2013 to 2018. The results are based on the distributed lag model (DLNMs) with lags of 0–2 weeks
From: Association between ozone and influenza transmissibility in China
Provinces | Models | With unadjusted \({R}_{t}\) | With adjusted \({R}_{t}\) | |||||
|---|---|---|---|---|---|---|---|---|
\({R}^{2}\) | %â–³\({R}^{2}\) | df | \({R}^{2}\) | %â–³\({R}^{2}\) | df | |||
Northern China | Beijing | Model1a | 0.39 | - | 719 | 0.13 | - | 719 |
Model2b | 0.43 | 5.00 | 711 | 0.25 | 12.00 | 711 | ||
Model3c | 0.52 | 13.00 | 677 | 0.54 | 41.00 | 677 | ||
Tianjin | Model1a | 0.50 | - | 663 | 0.33 | - | 663 | |
Model2b | 0.52 | 2.00 | 655 | 0.50 | 17.00 | 655 | ||
Model3c | 0.61 | 11.00 | 621 | 0.71 | 38.00 | 621 | ||
Gansu | Model1a | 0.42 | - | 488 | 0.03 | - | 488 | |
Model2b | 0.46 | 4.00 | 484 | 0.37 | 34.00 | 484 | ||
Model3c | 0.56 | 14.00 | 450 | 0.48 | 45.00 | 450 | ||
Liaoning | Model1a | 0.08 | - | 623 | 0.06 | - | 623 | |
Model2b | 0.21 | 13.00 | 615 | 0.39 | 33.00 | 615 | ||
Model3c | 0.28 | 20.00 | 587 | 0.45 | 39.00 | 587 | ||
Southern China | Shanghai | Model1a | 0.64 | - | 828 | 0.40 | - | 828 |
Model2b | 0.65 | 1.00 | 820 | 0.42 | 2.00 | 820 | ||
Model3c | 0.68 | 3.00 | 800 | 0.45 | 3.00 | 800 | ||
Jiangsu | Model1a | 0.43 | - | 831 | 0.04 | - | 831 | |
Model2b | 0.46 | 3.00 | 824 | 0.45 | 41.00 | 824 | ||
Model3c | 0.47 | 4.00 | 818 | 0.43 | 39.00 | 818 | ||
Guangdong | Model1a | 0.20 | - | 800 | 0.07 | - | 800 | |
Model2b | 0.25 | 5.00 | 792 | 0.26 | 19.00 | 792 | ||
Model3c | 0.39 | 19.00 | 768 | 0.49 | 42.00 | 768 | ||
Hunan | Model1a | 0.28 | - | 814 | 0.35 | - | 814 | |
Model2b | 0.30 | 2.00 | 806 | 0.56 | 21.00 | 806 | ||
Model3c | 0.38 | 10.00 | 778 | 0.51 | 16.00 | 778 | ||