Full model description and additional supplementary Figure S1-S6. This document includes a complete model description, including parameters, assumptions, mathematical expressions and fitting details, including further results and figures supporting the main text: Figure S1. Posteriors from the Bayesian Markov Chain Monte Carlo fitting to the Kimberley cohort data. Figure S2. Fitting HBV vaccine response according to HIV serostatus. Figure S3. Sensitivity of interventions with deterministic output. Figure S4. Post-intervention stochastic impact on HBV prevalence (HBsAg), with time to reach sustainable development goals when using routine neonatal vaccination and PMTCT independently. Figure S5. Sensitivity of mean intervention impact on HBV incidence (HBsAg) and HBeAg+ prevalence, with estimated mean year to reach sustainable development goals for combinations of routine + 6 years vaccination and PMTCT. Figure S6. Sensitivity of mean intervention impact on HBV incidence (HBsAg) and HBeAg+ prevalence, with estimated mean year to reach sustainable development goals for combinations of routine neonatal vaccination and PMTCT plus a complete catch-up campaign. (PDF 3606 kb)