Skip to main content
SpringerLink
Log in

Hierarchical Bayesian Models for the Force of Infection

  • Chapter
  • First Online:
Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

Part of the book series: Statistics for Biology and Health ((SBH,volume 63))

  • 2364 Accesses

Abstract

So far the prevalence and the FOI were estimated within the frequentist framework. In this chapter we estimate the prevalence and the FOI within the Bayesian framework. We refer to Sect. B.5 of Appendix B for an introduction to Bayesian inference.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

  1. Center for Statistics, Interuniversity Institute for Biostatistics and statistical Bioinformatics, Hasselt University, Diepenbeek, Belgium

    Niel Hens, Ziv Shkedy, Marc Aerts & Christel Faes

  2. Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Universiteitsplein 1, 2610, Antwerpen, Belgium

    Niel Hens

  3. Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerpen, Belgium

    Pierre Van Damme

  4. Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerpen, Belgium

    Philippe Beutels

Authors
  1. Niel Hens
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ziv Shkedy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marc Aerts
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Christel Faes
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Pierre Van Damme
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Philippe Beutels
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media New York

About this chapter

Cite this chapter

Hens, N., Shkedy, Z., Aerts, M., Faes, C., Van Damme, P., Beutels, P. (2012). Hierarchical Bayesian Models for the Force of Infection. In: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data. Statistics for Biology and Health, vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4072-7_10

Download citation

Publish with us

Policies and ethics

Search

Navigation