Susceptibility Sets and the Final Outcome of Collective Reed–Frost Epidemics

Frank Ball ()
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Frank Ball: University of Nottingham

Methodology and Computing in Applied Probability, 2019, vol. 21, issue 2, 401-421

Abstract: Abstract This paper is concerned with exact results for the final outcome of stochastic SIR (susceptible → $\rightarrow $ infective → $\rightarrow $ 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 Lefèvre and Philippe Picard. The proofs extend easily to include general final state random variables defined on SIR epidemics, and also to multitype epidemics.

Keywords: Total size; Severity; Susceptibility set; Symmetric sampling procedure; Gontcharoff polynomial; General final state random variables; 92D30; 60K99; 05C80 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11009-018-9631-6

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