Table 2.
Multiple linear regression analysis of the correlation between HBoV1 prevalence and meteorological factors in Guangzhou from July 2009 to June 2016
| Meteorological factors | Correlation coefficient | p value |
|---|---|---|
| Mean temperature (°C) | 0.259 | 0.002 |
| Mean relative humidity (%) | −0.126 | 0.024 |
| Mean wind speed (m/s) | −0.190 | 0.736 |
| Sunshine duration (h) | −0.006 | 0.426 |
| The regression model adjusted R2 = 0.231, p < 0.001 | ||
| Mean temperature in the preceding month (°C) | 0.328 | < 0.001 |
| Mean relative humidity (%) | −0.083 | 0.039 |
| Mean wind speed (m/s) | −0.453 | 0.317 |
| Sunshine duration (h) | −0.014 | 0.051 |
Multiple linear regression analysis was performed using HBoV1 monthly prevalence as the dependent variable, monthly mean temperature (or mean temperature in the preceding month), mean relative humidity, mean wind speed and sunshine duration as the independent variables
Data captured in bold are highly significant