Table 2.
Logistic regression model results for predictors of Dengue Fever infection in the 2014 Guangzhou outbreak.
| Variables | B | S.E | p Value | Odds Ratio(OR) | 95% CI |
|---|---|---|---|---|---|
| Awareness of Dengue | −2.538 | 0.401 | <0.001 | 0.08 | 0.04–0.17 |
| Living in old apartment | 0.866 | 0.358 | 0.015 | 2.38 | 1.18–4.79 |
| Plants with water containers | −0.853 | 0.363 | 0.019 | 0.43 | 0.21–0.87 |
| Preventive Measures | |||||
| Repellent | −1.033 | 0.418 | 0.013 | 0.36 | 0.16–0.81 |
| Nets | 1.069 | 0.322 | 0.001 | 2.91 | 1.55–5.48 |
| Cleaning trash/water | −3.901 | 1.101 | <0.001 | 0.02 | 0.00–0.17 |
| Coils | 0.978 | 0.318 | 0.002 | 2.66 | 1.43–4.96 |
| Constant intercept | −0.285 | 0.435 | 0.512 | 0.75 |