June 2014 Convergence and monotonicity for a model of spontaneous infection and transmission
Eric Foxall
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Adv. in Appl. Probab. 46(2): 560-584 (June 2014). DOI: 10.1239/aap/1401369707

Abstract

A version of the contact process (effectively an SIS model) on a finite set of sites is considered in which there is the possibility of spontaneous infection. A companion process is also considered in which spontaneous infection does not occur from the disease-free state. Monotonicity with respect to parameters and initial data is established, and conditions for irreducibility and exponential convergence of the processes are given. For the spontaneous process, a set of approximating equations is derived, and its properties investigated.

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Eric Foxall. "Convergence and monotonicity for a model of spontaneous infection and transmission." Adv. in Appl. Probab. 46 (2) 560 - 584, June 2014. https://doi.org/10.1239/aap/1401369707

Information

Published: June 2014
First available in Project Euclid: 29 May 2014

zbMATH: 1310.60108
MathSciNet: MR3215546
Digital Object Identifier: 10.1239/aap/1401369707

Subjects:
Primary: 60J25
Secondary: 92B99

Keywords: Continuous-time Markov process , Interacting particle system , SIS model

Rights: Copyright © 2014 Applied Probability Trust

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Vol.46 • No. 2 • June 2014
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