Table 3.
Multiple logistic regression model with test result (positive vs. negative) as a dependent variable.
| Variables | B | S.E. | Wald | Sig | Exp(B) | 95% CI for EXP(B) | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Age | −0.002 | 0.009 | 0.052 | 0.819 | 0.998 | 0.981 | 1.016 |
| Gender (Male Ref) | −0.163 | 0.245 | 0.445 | 0.505 | 0.849 | 0.525 | 1.372 |
| Presence of respiratory symptoms | 2.141 | 0.250 | 73.413 | 8.509 | 5.214 | 13.886 | |
| Catering/food sector (yes Ref) | −1.503 | 0.400 | 14.100 | 0.222 | 0.102 | 0.487 | |
| Retirees (yes Ref) | 0.571 | 0.515 | 1.233 | 0.267 | 1.771 | 0.646 | 4.857 |
| Civil servants (yes Ref) | 0.578 | 0.473 | 1.495 | 0.221 | 1.782 | 0.706 | 4.499 |