Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-22617
Barbour, A D (1994). Threshold phenomena in epidemic theory. In: Kelly, F P. Probability, statistics and optimisation. Chichester, 101-116. ISBN 0-471-94829-2.
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Abstract
The threshold theorem for deterministic epidemics in mixing populations can usually be rewritten in such a form that a large epidemic results from trace infection if and only if , where
can be interpreted as a basic reproduction ratio for an associated population model. The Whittle stochastic threshold theorem replaces certainty with probability: if
, a large epidemic is highly unlikely to result from the introduction of one or two infectives, whereas, if
, the probability of having a significant epidemic is no longer trivial. In this paper, the Whittle approximation to a model for parasitic infection in a mixing population is analysed. A feature of the model is that
is well defined, but for certain parameter values the threshold is not at
. Thus to have
as threshold for epidemics in mixing populations is by no means a universal rule. A related birth and death process with drift is also investigated.
| Item Type: | Book Section, refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Mathematics |
| DDC: | 510 Mathematics |
| Language: | English |
| Date: | 1994 |
| Deposited On: | 09 Apr 2010 11:25 |
| Last Modified: | 09 Jul 2012 05:57 |
| Publisher: | Wiley |
| Series Name: | Wiley Series in Probability and Mathematical Statistics |
| ISBN: | 0-471-94829-2 |
| Additional Information: | This is a preprint of an article published in [Barbour, A. D. Threshold phenomena in epidemic theory. Probability, statistics and optimisation, 101--116], Wiley Series in Probability and Mathematical Statistics Copyright © 1994 |
| Related URLs: | http://www.ams.org/mathscinet-getitem?mr=1320745 |
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