An SIR epidemic model on a population with random network and household structure and several types of individuals

We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types of individuals. Infectious individuals can make infectious contacts on two levels, within their own ‘household’ and with their neighbours in a random graph representing additional social contacts. This...

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Main Authors: Ball, Frank G., Sirl, David J.
Format: Article
Published: Applied Probability Trust 2010
Online Access:https://eprints.nottingham.ac.uk/1393/
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author Ball, Frank G.
Sirl, David J.
author_facet Ball, Frank G.
Sirl, David J.
author_sort Ball, Frank G.
building Nottingham Research Data Repository
collection Online Access
description We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types of individuals. Infectious individuals can make infectious contacts on two levels, within their own ‘household’ and with their neighbours in a random graph representing additional social contacts. This random graph is an extension of the well-known configuration model to allow for several types of individuals. We give a strong approximation theorem which leads to a threshold theorem for the epidemic model and a method for calculating the probability of a major outbreak given few initial infectives. A multitype analogue of a theorem of Ball et al. (2009) heuristically motivates a method for calculating the expected size of such a major outbreak. We also consider vaccination and give some short numerical illustrations of our results.
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spelling nottingham-13932020-05-04T20:25:17Z https://eprints.nottingham.ac.uk/1393/ An SIR epidemic model on a population with random network and household structure and several types of individuals Ball, Frank G. Sirl, David J. We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types of individuals. Infectious individuals can make infectious contacts on two levels, within their own ‘household’ and with their neighbours in a random graph representing additional social contacts. This random graph is an extension of the well-known configuration model to allow for several types of individuals. We give a strong approximation theorem which leads to a threshold theorem for the epidemic model and a method for calculating the probability of a major outbreak given few initial infectives. A multitype analogue of a theorem of Ball et al. (2009) heuristically motivates a method for calculating the expected size of such a major outbreak. We also consider vaccination and give some short numerical illustrations of our results. Applied Probability Trust 2010 Article NonPeerReviewed Ball, Frank G. and Sirl, David J. (2010) An SIR epidemic model on a population with random network and household structure and several types of individuals. Advances in Applied Probability . ISSN 0001-8678 (Submitted) http://www.appliedprobability.org/content.aspx?Group=journals&Page=apjournals
spellingShingle Ball, Frank G.
Sirl, David J.
An SIR epidemic model on a population with random network and household structure and several types of individuals
title An SIR epidemic model on a population with random network and household structure and several types of individuals
title_full An SIR epidemic model on a population with random network and household structure and several types of individuals
title_fullStr An SIR epidemic model on a population with random network and household structure and several types of individuals
title_full_unstemmed An SIR epidemic model on a population with random network and household structure and several types of individuals
title_short An SIR epidemic model on a population with random network and household structure and several types of individuals
title_sort sir epidemic model on a population with random network and household structure and several types of individuals
url https://eprints.nottingham.ac.uk/1393/
https://eprints.nottingham.ac.uk/1393/