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Measles Epidemics and PEPA: An Exploration of Historic Disease Dynamics Using Process Algebra

  • Soufiene Benkirane
  • Rachel Norman
  • Erin Scott
  • Carron Shankland
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7436)

Abstract

We demonstrate the use of the process algebra PEPA for realistic models of epidemiology. The results of stochastic simulation of the model are shown, and ease of modelling is compared to that of Bio-PEPA. PEPA is shown to be capable of capturing the complex disease dynamics of the historic data for measles epidemics in the UK from 1944–1964, including persistent fluctuations due to seasonal effects.

Keywords

Stochastic Simulation Direct Transmission Contact Rate Process Algebra Infectious Period 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Soufiene Benkirane
    • 1
  • Rachel Norman
    • 1
  • Erin Scott
    • 1
  • Carron Shankland
    • 1
  1. 1.University of StirlingStirlingUK

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