Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/939
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Benkirane, Soufiene
Hillston, Jane
McCaig, Chris
Norman, Rachel
Shankland, Carron
Contact Email: ces@cs.stir.ac.uk
Title: Improved Continuous Approximation of PEPA Models through Epidemiological Examples
Citation: Benkirane S, Hillston J, McCaig C, Norman R & Shankland C (2009) Improved Continuous Approximation of PEPA Models through Epidemiological Examples In: . From Biology To Concurrency and back (FBTC 2008), A Satellite Workshop of ICALP 2008, Electronic Notes in Theoretical Computer Science, 229 (1), pp. 59-74.
Issue Date: 2009
Conference Name: From Biology To Concurrency and back (FBTC 2008), A Satellite Workshop of ICALP 2008
Abstract: We present two individual based models of disease systems using PEPA (Performance Evaluation Process Algebra). The models explore contrasting mechanisms of disease transmission: direct transmission (e.g. measles) and indirect transmission (e.g. malaria, via mosquitos). We extract ordinary differential equations (ODEs) as a continuous approximation to the PEPA models using the Hillston method and compare these with the traditionally used ODE disease models and with the results of stochastic simulation. Improvements to the Hillston method of ODE extraction for this context are proposed, and the new results compare favourably with stochastic simulation results and to ODEs derived for equivalent models in WSCCS (Weighted Synchronous Calculus of Communicating Systems).
Status: Post-print (author final draft post-refereeing)
Rights: Published in Electronic Notes in Theoretical Computer Science by Elsevier, copyright 2008
URL: http://www.cs.le.ac.uk/events/FBTC2008

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