Table 1.
Region | RR (95% CI) | RR for adaptation | Attributable fraction (%) |
---|---|---|---|
Huanghuai | 1.003 (0.993, 1.013) | 1.002 | 1.9 |
Inner Mongolia | 1.023 (1.002, 1.043) | 1.016 | 15.7 |
Jianghan | 1.014 (0.993, 1.035) | 1.010 | 5.6 |
Jianghuai | 1.012 (0.995, 1.029) | 1.008 | 4.9 |
Jiangnan | 1.014 (1.003, 1.025) | 1.009 | 4.8 |
Northeast | 1.021 (1.008, 1.034) | 1.014 | 13.6 |
Northern | 1.029 (1.015, 1.044) | 1.020 | 12.8 |
Northwest | 1.014 (1.002, 1.026) | 1.010 | 6.8 |
Southern | 1.033 (1.015, 1.052) | 1.024 | 6.3 |
Southwest | 1.019 (1.006, 1.032) | 1.013 | 5.8 |
Tibet | 0.970 (0.900, 1.046) | 0.979 | |
National | 1.017 (1.012, 1.021) | 1.012 | 7.0 |
Note: RR represents the regional combined relative risk for a 1°C increase of daily mean temperature derived from the two-stage model during 2014–2016. RR for adaptation used the coefficient () of region-specific relative risks reduced by 30%. Attributable fraction was estimated in the city-specific DLNM-analysis with BLUP method. Higher temperature for attributable fraction means all average daily temperatures above the 50th percentile for each city at baseline (in 2014–2016). BLUP, best linear unbiased prediction; CI, confidence interval; DLNM, distributed lag nonlinear model; RR, relative risk.