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Threshold behaviour for a chain-binomial S-I-S infectious disease

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Abstract

The present paper is concerned with a chain-binomial deterministic model for an infectious disease of the S-I-S type. The model extends the Cooke et al. (1977) and Longini (1980) model in the sense that it accounts for the distribution of the number of contacts made by each susceptible during an infectious period and for the probabilities of infection at the different contacts with infectives. The aim of the work is to investigate under which conditions the disease becomes endemic or not. Some partial results are first derived, but a complete analysis of the threshold behaviour seems very intricate. A more detailed discussion is then presented for the specific case where at least K+1 contacts with infectives, K⩾1 fixed, are required to make a susceptible infected.

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References

  • Bailey, N. T. J.: The mathematical theory of infectious diseases and its applications, 2nd edn. London: Griffin 1975

    Google Scholar 

  • Collet, P., Eckmann, J.-P.: Iterated maps on the interval as dynamical systems. Basel: Birkhäuser 1980

    Google Scholar 

  • Cooke, K. L., Calef, D. F., Level, E. V.: Stability or chaos in discrete epidemic models. In: Nonlinear systems and applications — an international conference, pp. 77–93. New York: Academic Press 1977

    Google Scholar 

  • Coppel, W. A.: The solution of equations by iteration. Proc. Cambridge Philos. Soc. 51, 41–43 (1955)

    Google Scholar 

  • Dietz, K., Schenzle, D.: Mathematical models for infectious disease statistics. In: A celebration of statistics, pp. 167–204. New York: Springer 1985

    Google Scholar 

  • Householder, A. S.: The numerical treatment of a single nonlinear equation. New York: McGraw-Hill 1970

    Google Scholar 

  • Longini, I. M.: A chain binomial model of endemicity. Math. Biosci. 50, 85–93 (1980)

    Google Scholar 

  • May, R. M.: Biological populations obeying difference equations: stable points, stable cycles, and chaos. J. Theoret. Biol. 51, 511–524 (1975)

    Google Scholar 

  • May, R. M.: Togetherness among schistosomes: its effect on the dynamics of the infection. Math. Biosci. 35, 301–343 (1977)

    Google Scholar 

  • Scalia-Tomba, G.: Asymptotic final-size distribution for some chain-binomial processes. Adv. Appl. Prob. 17, 477–495 (1985)

    Google Scholar 

  • Von Bahr, B., Martin-Löf, A.: Threshold limit theorems for some epidemic processes. Adv. Appl. Prob. 12, 319–349 (1980)

    Google Scholar 

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Lefèvre, C. Threshold behaviour for a chain-binomial S-I-S infectious disease. J. Math. Biology 24, 59–70 (1986). https://doi.org/10.1007/BF00275720

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  • DOI: https://doi.org/10.1007/BF00275720

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