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Table 3 Sensitivity analysis death RR [95% CI] of COVID-19 caused by temperature in Wuhan

From: The association between ambient temperature and mortality of the coronavirus disease 2019 (COVID-19) in Wuhan, China: a time-series analysis

Lag

Model 1

Model 2

Model 3

Model 4

Model 5

Lag14

0.978 [0.962,0.996]

0.974 [0.956,0.991]

0.972 [0.954,0.990]

0.973 [0.955,0.990]

0.969 [0.952,0.986]

Lag15

0.960 [0.943,0.977]

0.956 [0.936,0.972]

0.953 [0.934,0.971]

0.953 [0.935,0.971]

0.946 [0.929,0.964]

Lag16

0.977 [0.959,0.996]

0.975 [0.956,0.994]

0.975 [0.956,0.995]

0.973 [0.955,0.992]

0.962 [0.943,0.980]

Lag0–14

0.945 [0.863,1.034]

0.955 [0.870,1.049]

0.921 [0.832,1.021]

0.965 [0.888,1.064]

0.982 [0.907,1.063]

Lag0–15

0.878 [0.798,0.965]

0.877 [0.796,0.966]

0.848 [0.765,0.941]

0.891 [0.813,0.979]

0.907 [0.836,0.983]

Lag0–16

0.823 [0.742,0.913]

0.815 [0.733,0.906]

0.804 [0.723,0.895]

0.830 [0.750,0.920]

0.853 [0.780,0.932]

  1. Note: Model 1 long-term degree of freedom is 6, Model 2 long-term degree of freedom is 7, Model 3 long-term degree of freedom is 8, Model 4 model excluding daily AQI, Model 5 model excluding daily average relative humidity, RR relative risk, CI confidence interval, Lag the delayed effects situation of temperature, Lag14 the COVID-19 death effects of the conditions of temperature lag 14 days, Lag0–14 the COVID-19 average cumulative death effects of the conditions of temperature lag 14 days