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Estimating the Force of Infection from Incidence and Prevalence

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Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

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

Abstract

As discussed in Chap. 4, the use of serological surveys is one of the most common ways to investigate the epidemiology of infectious diseases and to estimate important parameters such as the force of infection. This chapter introduces basic statistical concepts and notation related to the analysis of serological and incidence data and briefly discusses several modeling issues.

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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
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  2. Ziv Shkedy
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  3. Marc Aerts
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  4. Christel Faes
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  5. Pierre Van Damme
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  6. Philippe Beutels
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© 2012 Springer Science+Business Media New York

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Hens, N., Shkedy, Z., Aerts, M., Faes, C., Van Damme, P., Beutels, P. (2012). Estimating the Force of Infection from Incidence and Prevalence. 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_5

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