Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-10T17:47:00.529Z Has data issue: false hasContentIssue false

Applications of martingale theory to some epidemic models, II

Published online by Cambridge University Press:  14 July 2016

Philippe Picard*
Affiliation:
Université de Lyon 1
*
Postal address: Université Claude Bernard (Lyon 1), Mathématiques Appliqueés, 43 Boulevard du 11 Novembre 1918, 69622 Villeurbanne Cedex, France.

Abstract

We consider Weiss's and Downton's models with parametersπ, αand β depending on i number of susceptibles and j number of carriers. A martingale argument is performed when πand α /β only depend on i or, in Weiss's case, when α /β is the product of a function of i by a function of j. In these cases the martingale approach proves very valuable and gives explicit results quite easily. In particular it shows that well-known relations between moments and integrals along a trajectory are still true for any stopping time and for more general models than the classic ones.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1984 

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

Heyde, C. C. (1984) Robust population models with application in genetic and epidemic theory (abstract). Adv. Appl. Prob. 16, 26.Google Scholar
Picard, Ph. (1980) Applications of martingale theory to some epidemic models. J. Appl. Prob. 17, 583599.Google Scholar
Picard, Ph. (1981) Applications of martingale theory to carrier-borne epidemic models with time-dependent parameters. Math. Biosci. 55, 205229.CrossRefGoogle Scholar
Routleff, C. (1982) A variation of Weiss's carrier-borne epidemic model. J. Appl. Prob. 19, 403407.Google Scholar
Severo, N. C. (1969) Generalizations of some epidemic models. Math. Biosci. 4, 395402.Google Scholar