Skip to main content
Log in

Abstract

The article discusses a probability model of the spread of an epidemic in which the elimination of sick persons (through death, immunity, or isolation) is taken into account. The authors find a limit distribution for the magnitude of the epidemic,v, on the assumption that n→∞, where n is the original number of susceptible persons, and\(\frac{\mu }{{\lambda n}} \to 1\), where λ and μ are the coefficient of infection and the coefficient of elimination, respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Literature cited

  1. N. T. J. Bailey, The Mathematical Theory of Epidemics, London (1957).

  2. G. A. R. Foster, “A note on Bailey's and Whittle's treatment of a general stochastic epidemic,” Biometrica,42, 123–125 (1955).

    Google Scholar 

  3. V. Siskind, “The solution of a general stochastic epidemic,” Biometrica,52, No. 3–4, 613–616 (1965).

    Google Scholar 

  4. I. I. Gikhman and A. V. Skorokhod, Introduction to the Theory of Random Processes [in Russian], Moscow (1965).

  5. A. V. Skorokhod, Random Processes with Independent Increments [in Russian], Moscow (1964).

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Matematicheskie Zametki, Vol. 3, No. 2, pp. 179–185, February, 1968.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nagaev, A.V., Startsev, A.V. Threshold theorem for an epidemic model. Mathematical Notes of the Academy of Sciences of the USSR 3, 115–119 (1968). https://doi.org/10.1007/BF01094331

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01094331

Keywords

Navigation