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Conference Paper (published)

Measles epidemics and PEPA: An exploration of historic disease dynamics using process algebra

Details

Citation

Benkirane S, Norman R, Scott E & Shankland C (2012) Measles epidemics and PEPA: An exploration of historic disease dynamics using process algebra. In: Giannakopoulou D & Mery D (eds.) FM 2012: Formal Methods: 18th International Symposium, Paris, France, August 27-31, 2012. Proceedings. Lecture Notes in Computer Science, 7436. FM 2012: Formal Methods 18th International Symposium, Paris, France, 27.08.2012-31.08.2012. Berlin Heidelberg: Springer-Verlag, pp. 101-115. http://link.springer.com/chapter/10.1007%2F978-3-642-32759-9_11; https://doi.org/10.1007/978-3-642-32759-9_11

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
process algebra; epidemiology; measles

StatusPublished
Funders
Title of seriesLecture Notes in Computer Science
Number in series7436
Publication date31/12/2012
URL
PublisherSpringer-Verlag
Publisher URL
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-642-32758-2
ConferenceFM 2012: Formal Methods 18th International Symposium
Conference locationParis, France
Dates

People (1)

Professor Rachel Norman

Professor Rachel Norman

Chair in Food Security & Sustainability, Mathematics

Projects (1)

Research centres/groups