Table 5.
Linear regression coefficient (β) and 95% Confidence Interval (CI) for the logarithm of the number of Culex pipiens Sampled and Lagged Meteorological Parameters.
| Parameter | β1 | 95% IC |
|---|---|---|
| 1°C Increase in weekly average maximum temperatures | ||
| Lag1 | 0.24 | 0.16 – 0.31 |
| Lag2 | 0.05 | −0.03 – 0.12 |
| Lag3 | −0.01 | −0.09 – 0.07 |
| Lag4 | −0.01 | −0.09 – 0.08 |
| 1 Day increase in the weekly number of wet days | ||
| Lag1 | 0 | −0.10 – 0.10 |
| Lag2 | −0.06 | −0.13 – 0.01 |
| Lag3 | −0.01 | −0.08 – 0.06 |
| Lag4 | −0.04 | −0.11 – 0.03 |
1
Linear regression coefficient (β): it indicates the average change in the logarithm of Cx. pipiens sampled 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.