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Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 126))

Abstract

In this paper, our main purpose is to investigate mathematical aspects of the Pease’s evolutionary epidemic model for type A influenza. First we formulate the Pease model as an abstract semilinear Cauchy problem and construct the semigroup solution. Next we prove existence and uniqueness of the endemic steady state and show endemic threshold phenomena. Subsequently by using semigroup approach, we investigate the local stability of endemic steady state. We prove that the endemic steady state is locally asymptotically stable if its prevalence is greater than fifty percent. Finally we discuss some possible extensions of the Pease’s model and open problems.

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References

  1. Anderson, R.M. and R.M. May (1991), Infectious Diseases of Humans: Dynamics and Control, Oxford University Press, Oxford.

    Google Scholar 

  2. Andreasen, V., S. Levin, and J. Lin (1996), A model of influenza A drift evolution, Z. Angew. Math. Mech. 76(S2): 421–424.

    Article  MATH  Google Scholar 

  3. Andreasen, V., J. Lin, and S.A. Levin (1997), The dynamics of cocirculating influenza strains conferring partial cross-immunity, J. Math. Biol. 35: 825–842.

    Article  MathSciNet  MATH  Google Scholar 

  4. Diekmann, O. and S.A. VAN Gils (1984), Invariant manifolds for Volterra integral equations of convolution type, J. Diff. Equ. 54: 139–180.

    Article  MATH  Google Scholar 

  5. Frauenthal, J.C. (1975), A dynamical model for human population growth, Theor, Popul. Biol. 8: 64–73.

    Article  Google Scholar 

  6. Hastings, A. (1995), A metapopulation model with population jumps of varying sizes, Math. Biosci. 128: 285–298.

    Article  MATH  Google Scholar 

  7. Inaba, H. (1998), Mathematical analysis for an evolutionary epidemic model, in Mathematical Models in Medical and Health Sciences, Vanderbilt University Press, Nashville, pp. 213–236.

    Google Scholar 

  8. Inaba, H. (2000), Revisiting Kermack and McKendrick, in Mathematical Models and Functional Equations, S. Sakata (ed.), Kokyuroku 1128, Research Institute for Mathematical Sciences, Kyoto University: 112–121.

    Google Scholar 

  9. Inaba, H. (2001), Kermack and McKendrick revisited: The variable susceptibility model for infectious diseases (to appear in Japan J. Indust. Appl. Math. 18(2)).

    Google Scholar 

  10. Kermack, W.O. and A.G. McKendrick (1927), Contributions to the mathematical theory of epidemics-I, Proceedings of the Royal Society 115A: 700–721 (reprinted in Bulletin of Mathematical Biology 53(1/2): 33–55, 1991).

    Google Scholar 

  11. Kermack, W.O. and A.G. McKendrick (1932), Contributions to the mathematical theory of epidemics-II. The problem of endemicity, Proceedings of the Royal Society 138A: 55–83 (reprinted in Bulletin of Mathematical Biology 53(1/2): 57–87, 1991).

    Google Scholar 

  12. Kermack, W.O. and A.G. McKendrick (1933), Contributions to the mathematical theory of epidemics-Ill. Further studies of the problem of endemicity, Proceedings of the Royal Society 141A: 94–122 (reprinted in Bulletin of Mathematical Biology 53(1/2): 89–118, 1991).

    Google Scholar 

  13. Metz, J.A.J, and O. Diekmann (eds.) (1986), The Dynamics of Physiologically Structured Populations, Lecture Notes in Biomathematics 68, Springer, Berlin.

    MATH  Google Scholar 

  14. Pease, C.M. (1987), An evolutionary epidemiological mechanism, with applications to type A influenza, Theor. Popul. Biol. 31: 422–452.

    Article  MATH  Google Scholar 

  15. Pruss, J. (1983a), Stability analysis for equilibria in age-specific population dynamics, Nonlinear Analysis, Theory, Methods and Applications 7(12): 1291–1313.

    Article  MathSciNet  Google Scholar 

  16. Prüss, J. (1983b), On the qualitative behaviour of populations with age-specific interactions, Comp. and Maths, with Appls. 9(3): 327–339.

    MATH  Google Scholar 

  17. Webb, G.F. (1985), Theory of Nonlinear Age-Dependent Population Dynamics,Marcel Dekker, New York and Basel.

    MATH  Google Scholar 

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Inaba, H. (2002). Endemic Threshold and Stability in an Evolutionary Epidemic Model. In: Castillo-Chavez, C., Blower, S., van den Driessche, P., Kirschner, D., Yakubu, AA. (eds) Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory. The IMA Volumes in Mathematics and its Applications, vol 126. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0065-6_19

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  • DOI: https://doi.org/10.1007/978-1-4613-0065-6_19

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6550-4

  • Online ISBN: 978-1-4613-0065-6

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