Susceptibility sets and the final outcome of collective Reed–Frost epidemics

This paper is concerned with exact results for the final outcome of stochastic SIR (susceptible → infective → recovered) epidemics among a closed, finite and homogeneously mixing population. The factorial moments of the number of initial susceptibles who ultimately avoid infection by such an epidemi...

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Main Author: Ball, Frank
Format: Article
Language:English
Published: Springer 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/50538/
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author Ball, Frank
author_facet Ball, Frank
author_sort Ball, Frank
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description This paper is concerned with exact results for the final outcome of stochastic SIR (susceptible → infective → recovered) epidemics among a closed, finite and homogeneously mixing population. The factorial moments of the number of initial susceptibles who ultimately avoid infection by such an epidemic are shown to be intimately related to the concept of a susceptibility set. This connection leads to simple, probabilistically illuminating proofs of exact results concerning the total size and severity of collective Reed–Frost epidemic processes, in terms of Gontcharoff polynomials, first obtained in a series of papers by Claude Lef`evre and Philippe Picard. The proofs extend easily to include general final state random variables defined on SIR epidemics, and also to multitype epidemics.
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spelling nottingham-505382018-06-14T16:31:42Z https://eprints.nottingham.ac.uk/50538/ Susceptibility sets and the final outcome of collective Reed–Frost epidemics Ball, Frank This paper is concerned with exact results for the final outcome of stochastic SIR (susceptible → infective → recovered) epidemics among a closed, finite and homogeneously mixing population. The factorial moments of the number of initial susceptibles who ultimately avoid infection by such an epidemic are shown to be intimately related to the concept of a susceptibility set. This connection leads to simple, probabilistically illuminating proofs of exact results concerning the total size and severity of collective Reed–Frost epidemic processes, in terms of Gontcharoff polynomials, first obtained in a series of papers by Claude Lef`evre and Philippe Picard. The proofs extend easily to include general final state random variables defined on SIR epidemics, and also to multitype epidemics. Springer 2018-04-04 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/50538/8/s11009-018-9631-6.pdf Ball, Frank (2018) Susceptibility sets and the final outcome of collective Reed–Frost epidemics. Methodology and Computing in Applied Probability . ISSN 1573-7713 Total size; Severity; Susceptibility set; Symmetric sampling procedure; Gontcharoff polynomial; General final state random variables https://link.springer.com/article/10.1007%2Fs11009-018-9631-6 doi:10.1007/s11009-018-9631-6 doi:10.1007/s11009-018-9631-6
spellingShingle Total size; Severity; Susceptibility set; Symmetric sampling procedure; Gontcharoff polynomial; General final state random variables
Ball, Frank
Susceptibility sets and the final outcome of collective Reed–Frost epidemics
title Susceptibility sets and the final outcome of collective Reed–Frost epidemics
title_full Susceptibility sets and the final outcome of collective Reed–Frost epidemics
title_fullStr Susceptibility sets and the final outcome of collective Reed–Frost epidemics
title_full_unstemmed Susceptibility sets and the final outcome of collective Reed–Frost epidemics
title_short Susceptibility sets and the final outcome of collective Reed–Frost epidemics
title_sort susceptibility sets and the final outcome of collective reed–frost epidemics
topic Total size; Severity; Susceptibility set; Symmetric sampling procedure; Gontcharoff polynomial; General final state random variables
url https://eprints.nottingham.ac.uk/50538/
https://eprints.nottingham.ac.uk/50538/
https://eprints.nottingham.ac.uk/50538/