Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-07T09:54:09.874Z Has data issue: false hasContentIssue false
  • English
  • Français

The estimation of parameters from population data on the general stochastic epidemic

Published online by Cambridge University Press:  01 July 2016

Norman T. J. Bailey  and
Anthony S. Thomas
Norman T. J. Bailey
Affiliation:
World Health Organization, Geneva
Anthony S. Thomas
Affiliation:
World Health Organization, Geneva
Get access Rights & Permissions [Opens in a new window]

Extract

We consider the usual stochastic model of a general epidemic, consisting of n + 1 homogeneously mixing individuals, assuming that initially when t = 0 there is one infective and n susceptibles (Bailey (1957)). At any time t we suppose that there are r susceptibles still uninfected, s infectives in circulation, and u individuals who have been removed (and are dead, isolated, or recovered and immune), where

Type
III. Results on the General Stochastic Epidemic
Information
Advances in Applied Probability , Volume 3 , Issue 2 , Autumn 1971 , pp. 211 - 214
Copyright
Copyright © Applied Probability Trust 1971 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bailey, N. T. J. (1957) The Mathematical Theory of Epidemics. Griffin, London Google Scholar