|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Measles epidemics and PEPA: An exploration of historic disease dynamics using process algebra|
|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.|
|Series/Report no.:||Lecture Notes in Computer Science, 7436|
|Conference Name:||FM 2012: Formal Methods 18th International Symposium|
|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)|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Affiliation:||University of Stirling|
Mathematics - CSM Dept
University of Stirling
Computing Science - CSM Dept
|measles.pdf||358.1 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.