Skip to main content
Log in

A note on threshold theorems for epidemics with bunching

  • Part II Inference For Stochastic Models
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

This note begins by reviewing the Kermack-McKendrick and Whittle Threshold Theorems for the general epidemic. It then extends these results to the case of the general epidemic with bunching where theβxy homogeneous mixing term is replaced byβxy/(x+y)α, 0≤α≤1.

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

References

  1. N.T.J. Bailey,The Mathematical Theory of Infectious Diseases (Griffin, London, 1975).

    Google Scholar 

  2. W.O. Kermack and A.G. McKendrick, Contributions to the mathematical theory of epidemics, Proc. Roy. Soc. A115(1927)700.

    Google Scholar 

  3. P. Whittle, The outcome of a stochastic epidemic — a note on Bailey's paper, Biometrika 42(1955)116.

    Google Scholar 

  4. I.W. Saunders, A model for myxomatosis, Math. Biosciences 48(1980)1.

    Google Scholar 

  5. J. Gani and P. Purdue, Matrix-geometric methods for the general stochastic epidemic, IMA J. Appl. Med. Biology 1(1984)333.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Research supported by Office of Naval Research Contract N00014-84-K-0568.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gani, J. A note on threshold theorems for epidemics with bunching. Ann Oper Res 8, 207–215 (1987). https://doi.org/10.1007/BF02187092

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02187092

Keywords and phrases

Navigation