Singularity and symmetry analyses of mathematical models of epidemics

  • M. C. Nucci Dipartimento di Matematica e Informatica, Università di Perugia, 06123 Perugia, Italy.
  • P. G.L. Leach Dipartimento di Matematica e Informatica, Università di Perugia, 06123 Perugia, Italy. Permanent address: School of Mathematical Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa.

Abstract

We present a summary of the methods of Lie symmetry and Painlevé singularity analyses and apply them to a number of wellknown epidemiological models to demonstrate the utility of these analyses in the analysis of dynamical systems which arise during investigations of the evolution of diseases.