Fig. 3.

Linear regression analysis of the association of several factors with M24 IgG antibody levels in individuals vaccinated with 3 doses. The estimates (dots) and 95% CI were calculated using linear regression models. Beta (β) and CI values have been transformed to a percentage for an easier interpretation. The color of the dots represents the p value after adjustment for multiple testing by Benjamini-Hochberg, where black represents < 0.001, dark grey < 0.01, light grey < 0.05, and white non-significant. “^a” indicates the following: non-adjusted variable. n = 287. “^b” indicates the following: covariates for adjustment included age, sex, and smoking. N = 287. “^c” indicates the following: covariates for adjustment included age and sex. n = 287. “^d” indicates the following: covariates for adjustment included age, comorbidities, chronic medication, sex, smoking, and primary vaccination type. n = 287. “^e” indicates the following: covariates for adjustment included age, comorbidities, chronic medication, infection post-primary pre-booster vaccination, infection pre-primary vaccination, sex, smoking, primary vaccine type, AEs after dose 1, AEs after dose 2, and AEs after dose 3. n = 245. Interaction terms were included between post-booster infection and infection pre-primary vaccination and infection post-primary vaccination pre-booster. “^f” indicates the following: covariates for adjustment included age, comorbidities, chronic medication, infection pre-primary vaccination, sex, smoking, primary vaccine type, AEs after dose 1, and AEs after dose 2. Interaction terms were included between infection post-primary vaccination pre-booster and infection pre-primary vaccination and post-booster vaccination. n = 245. “^g” indicates the following: covariates for adjustment included age, comorbidities, chronic medication, sex, smoking, and primary vaccine type. Interaction terms were included between infection pre-primary vaccination and post-booster vaccination and post-primary vaccination pre-booster. n = 245