Table 6.
Negative binomial regression model for Ae. aegypti and Ae. albopictus number
| Parameter | Ae. aegypti | Ae. albopictus | ||||||
|---|---|---|---|---|---|---|---|---|
| Model 23 | Model 24 | Model 25 | Model 26 | |||||
| b (SE) | P a | b (SE) | P a | b (SE) | P a | b (SE) | P a | |
| (Intercept) | -2.241 (1.302) | 0.085 | -2.499 (1.171) | 0.033 | -3.864 (1.602) | 0.016 | -0.447 (0.277) | 0.107 |
| Chitwan | -1.863 (0.929) | 0.045 | 0.571 (0.918) | 0.534 | ||||
| Kathmandu | -0.982 (0.623) | 0.115 | ||||||
| Monsoon | 3.781 (2.857) | 0.186 | 5.723 (1.586) | <0.0001 | 6.852 (3.432) | 0.046 | ||
| Post-monsoon | 6.25 (2.903) | 0.031 | 3.378 (1.611) | 0.036 | 1.125 (1.596) | 0.481 | ||
| TempRain | 2.158 (2.186) | 0.323 | -0.513 (1.839) | 0.780 | 1.334 (0.212) | <0.0001 | ||
| RelHumidity | -2.008 (0.915) | 0.028 | -1.271 (0.722) | 0.078 | -0.447 (0.781) | 0.567 | 1.494 (0.352) | <0.0001 |
| C_TempRain | 0.036 (0.635) | 0.954 | -0.654 (0.663) | 0.324 | ||||
| C_RelHumidity | 2.551 (1.160) | 0.028 | 1.218 (0.633) | 0.054 | 0.763 (1.060) | 0.472 | ||
| K_TempRain | -0.072 (0.535) | 0.893 | -0.854 (0.699) | 0.222 | ||||
| K_RelHumidity | 1.118 (0.698) | 0.109 | 1.055 (0.819) | 0.198 | ||||
Abbreviation: SE standard error
aWald Chi-square test