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A correction to “The area under the infectives trajectory of the general stochastic epidemic”

Published online by Cambridge University Press:  14 July 2016

F. Downton*
Affiliation:
University of Birmingham

Extract

In a recent paper (Downton (1972)) an attempt was made to use the combinatorial approach of Downton (1967) to obtain an expression for the Laplace transform (and hence the moments) of the area under the infectives trajectory of the general stochastic epidemic. The basic property of that area, which makes this possible, is that it is composed of a random number of rectangles, each of whose area has a distribution depending on the infection rate and the number of susceptibles present at the appropriate stage in the development of the epidemic, but which is independent of the number of infectives. However, Mr A. Abakuks has pointed out that in one respect the argument used was faulty. It was argued that the contribution to the area under the infectives curve of an interval ending in a reduction in the number of infectives from i to i – 1 had an exponential distribution with parameter p (the infection rate); and if the interval ended in a reduction in the number of susceptibles from s to s – 1 the distribution was exponential with parameter s. While this is true unconditionally, the combinatorial situation described was essentially a conditional one, in which each of these contributions to the total area had an exponential distribution, independent of i, but with parameter (ρ + s) regardless of whether the interval ended in a reduction in the number of infectives or of susceptibles.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1972 

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References

Daniels, H. E. (1967) The distribution of the total size of an epidemic. Proc. Fifth Berk. Symp. on Math. Statist. and Prob. 4, 281293.Google Scholar
Downton, F. (1967) A note on the ultimate size of a general stochastic epidemic. Biometrika 54, 314316.CrossRefGoogle ScholarPubMed
Downton, F. (1972) The area under the infectives trajectory of the general stochastic epidemic. J. Appl. Prob. 9, 414417.CrossRefGoogle Scholar