Supplementary Materials

Supplementary Material for:

The impact of past vaccination coverage and immunity on pertussis resurgence

Matthieu Domenech de Cellès,* Felicia M. G. Magpantay, Aaron A. King, Pejman Rohani

*Corresponding author. Email: matthieu.domenech-de-celles{at}pasteur.fr

Published 28 March 2018, Sci. Transl. Med. 10, eaaj1748 (2018)
DOI: 10.1126/scitranslmed.aaj1748

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Pertussis transmission model schematic.
  • Fig. S2. Pertussis vaccine coverage in Massachusetts.
  • Fig. S3. Demographic data in Massachusetts.
  • Fig. S4. Age-specific contact matrix.
  • Fig. S5. Monthly reported cases by age group.
  • Fig. S6. Age-specific seasonality in reported cases.
  • Fig. S7. Cross-correlations between age groups, with age group 0 to 1 year old taken as the reference age group.
  • Fig. S8. Estimated seasonal forcing in children aged 5 to 10 and adolescents aged 10 to 20.
  • Fig. S9. Contact matrix in Massachusetts.
  • Fig. S10. One hundred data sets of monthly reports generated for the simulation study.
  • Fig. S11. Quantitative comparison of model-data agreement for different generation times.
  • Fig. S12. Model predictive ability at different forecast horizons and base months, with R2 calculated on log-transformed data and model predictions.
  • Fig. S13. Model predictive ability at different forecast horizons and base months, with R2 calculated on raw data and model predictions.
  • Fig. S14. Impact of single-booster vaccination in different age groups.
  • Table S1. Timeline of pertussis surveillance effort and of pertussis vaccination in Massachusetts.
  • Table S2. Estimates of age-specific reporting probabilities.
  • Table S3. Age-specific trends (SEs) estimated by Poisson regression.
  • Table S4. Fixed model parameters.
  • Table S5. Parameter ranges used to generate starting parameter sets for trajectory matching.
  • Table S6. Parameter estimates of the deterministic variant of the base model (similar DTaP- and wP-derived immunity, perfect infection-derived immunity).
  • Table S7. Parameter estimates of the stochastic variant of the base model (similar DTaP- and wP-derived immunity, perfect infection-derived immunity).
  • Table S8. Parameter estimates with a contact matrix in Massachusetts.
  • Table S9. Parameter estimates of models with identical infection- and wP-derived immunity but separate DTaP-derived immunity.
  • Table S10. Parameter estimates of an extension of the base model, with separate primary vaccine failure for wP and DTaP.
  • References (6471)

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