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Estimating the Force of Infection from Incidence and Prevalence

  • Niel Hens
  • Ziv Shkedy
  • Marc Aerts
  • Christel Faes
  • Pierre Van Damme
  • Philippe Beutels
Chapter
Part of the Statistics for Biology and Health book series (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.

Keywords

Attack Rate Incidence Data Regression Spline Maternal Antibody Susceptibility Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Niel Hens
    • 1
    • 2
  • Ziv Shkedy
    • 1
  • Marc Aerts
    • 1
  • Christel Faes
    • 1
  • Pierre Van Damme
    • 3
  • Philippe Beutels
    • 4
  1. 1.Center for Statistics, Interuniversity Institute for Biostatistics and statistical BioinformaticsHasselt UniversityDiepenbeekBelgium
  2. 2.Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease InstituteUniversity of AntwerpAntwerpenBelgium
  3. 3.Centre for the Evaluation of Vaccination, Vaccine and Infectious Disease InstituteUniversity of AntwerpAntwerpenBelgium
  4. 4.Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease InstituteUniversity of AntwerpAntwerpenBelgium

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