Journal of Mathematical Biology

, Volume 62, Issue 4, pp 479–508 | Cite as

Exact epidemic models on graphs using graph-automorphism driven lumping

  • Péter L. Simon
  • Michael Taylor
  • Istvan Z. Kiss
Article

Abstract

The dynamics of disease transmission strongly depends on the properties of the population contact network. Pair-approximation models and individual-based network simulation have been used extensively to model contact networks with non-trivial properties. In this paper, using a continuous time Markov chain, we start from the exact formulation of a simple epidemic model on an arbitrary contact network and rigorously derive and prove some known results that were previously mainly justified based on some biological hypotheses. The main result of the paper is the illustration of the link between graph automorphisms and the process of lumping whereby the number of equations in a system of linear differential equations can be significantly reduced. The main advantage of lumping is that the simplified lumped system is not an approximation of the original system but rather an exact version of this. For a special class of graphs, we show how the lumped system can be obtained by using graph automorphisms. Finally, we discuss the advantages and possible applications of exact epidemic models and lumping.

Keywords

Network Epidemic Markov chain Lumping Graph automorphism 

Mathematics Subject Classification (2000)

92D25 92D30 92D40 00A71 00A72 

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Péter L. Simon
    • 1
  • Michael Taylor
    • 2
  • Istvan Z. Kiss
    • 2
  1. 1.Institute of MathematicsEötvös Loránd University BudapestBudapestHungary
  2. 2.Department of MathematicsUniversity of SussexBrightonUK

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