Table 5.
Multivariate analysis of the factors influencing “anti SARS-CoV-2 antibody titer”. Vaccine types have been numbered from 1 to 5 based on the median antibody titer (Table 4). RC: regression coefficient; SE: standard error; Beta: beta coefficient. Durbin–Watson parameter is equal to 1.9 indicating absence of autocorrelation in the residuals due to the model.
| Factor | RC | 95% CI | SE | Beta | p-Value |
|---|---|---|---|---|---|
| Vaccination | 4020 | 3507; 4534 | 261 | 0.525 | <0.001 |
| Distance from booster dose | −28 | −37; −19 | 4.6 | −0.210 | <0.001 |
| SARS-CoV-2 infection | −1053 | −6776; 4669 | 2914 | −0.033 | 0.718 |
| COVID-19 symptoms | 9914 | 3806; 16,024 | 3111 | 0.288 | 0.002 |
| Constant of the model | −4775 | −5961; −3589 | 604 | <0.001 |