Table 3.
Binary logistic regression analysis. The backward stepwise elimination regression models were applied to the variable groups symptoms, risk factors, and professions.
| Predictors | Odds Ratio (95% CI) | p-value |
| Symptoms a | ||
| Fever | –b | – |
| Cough | –b | – |
| Loss of taste/smell | 8.563 (1.855–39.527) | 0.006 |
| Respiratory difficulties | –b | – |
| Risk factors a | ||
| Smoking habit | 0.440 (0.189–1.024) | ns |
| Cardiovascular diseases | 2.587 (1.110–6.030) | 0.028 |
| Diabetes | –b | – |
| Respiratory diseases | –b | – |
| Professions a | ||
| Artisans | –b | – |
| Homemakers and pensioners | –b | – |
| Shopkeepers | –b | – |
| Shop assistants | –b | – |
| Police officers | 3.875 (1.531–9.805) | 0.004 |
| HCWs | –b | – |
| Office workers | –b | – |
a Variables entered in the regression models.
b Variables removed from the regression models.