Table 6.
Poisson regression coefficient for Infection Rate and Lagged Meteorological Parameters.
| Parameter | β1 | 95% IC |
|---|---|---|
| 1°C Increase in weekly average maximum temperatures | ||
| Lag1 | −0.04 | −0.26−0.18 |
| Lag2 | 0.22 | 0.02—0.42 |
| Lag3 | 0.12 | −0.10−0.34 |
| Lag4 | −0.1 | −0.26−0.10 |
| 1 Day increase in number of wet days | ||
| Lag1 | 0.07 | −0.17−0.32 |
| Lag2 | 0.13 | −0.06−0.32 |
| Lag3 | −0.18 | −0.37−0.02 |
| Lag4 | 0 | −0.16−0.16 |
1
Poisson regression coefficient (β): the exponential of β indicates the rate ratio, namely the change in the infection rate (multiplicative term) associated with a 1°C increase in weekly average maximum temperatures and 1 day increase in weekly number of wet days. p value < 0.05 in bold.