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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Benkirane, Soufiene
Norman, Rachel
Scott, Erin
Shankland, Carron
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Title: Measles epidemics and PEPA: An exploration of historic disease dynamics using process algebra
Editor(s): Giannakopoulou, D
Mery, D
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 (ed.) FM 2012: Formal Methods: 18th International Symposium, Paris, France, August 27-31, 2012. Proceedings, Berlin Heidelberg: Springer-Verlag. FM 2012: Formal Methods 18th International Symposium, 27.8.2012 - 31.8.2012, Paris, France, pp. 101-115.
Issue Date: 2012
Series/Report no.: Lecture Notes in Computer Science, 7436
Conference Name: FM 2012: Formal Methods 18th International Symposium
Conference Dates: 2012-08-27T00:00:00Z
Conference Location: Paris, France
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.
Status: Publisher version (final published refereed version)
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