Analysis of a stochastic SIR epidemic on a random network incorporating household structure.

作者: Frank Ball , David Sirl , Pieter Trapman

DOI: 10.1016/J.MBS.2009.12.003

关键词: PopulationStochastic modellingMonte Carlo methodCommunicable diseaseMathematicsPopulation sizeOutbreakRandom graphCluster analysisStatisticsOperations research

摘要: This paper is concerned with a stochastic SIR (susceptible → infective removed) model for the spread of an epidemic amongst population individuals, random network social contacts, that also partitioned into households. The behaviour as size tends to infinity in appropriate fashion investigated. A threshold parameter which determines whether or not few initial infectives can become established and lead major outbreak obtained, are probability occurs expected proportion ultimately infected by such outbreak, together methods calculating these quantities. Monte Carlo simulations demonstrate asymptotic quantities accurately reflect finite populations, even only moderately sized populations. compared contrasted related models previously studied literature. effects amount clustering present overall structure infectious period distribution on outcomes explored.

参考文章(47)
An Introduction to Probability John Wiley & Sons, Inc.. pp. 1- 26 ,(2008) , 10.1002/9780470282052.CH1
Richard Durrett, Random graph dynamics ,(2007)
H. E. Daniels, The distribution of the total size of an epidemic Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 4: Biology and Problems of Health. ,(1967)
Tom Britton, Håkan Andersson, Stochastic Epidemic Models and Their Statistical Analysis ,(2000)
Frank Ball, David Sirl, Pieter Trapman, Threshold behaviour and final outcome of an epidemic on a random network with household structure Advances in Applied Probability. ,vol. 41, pp. 765- 796 ,(2009) , 10.1239/AAP/1253281063
M.J. Keeling, B.T. Grenfell, Effect of variability in infection period on the persistence and spatial spread of infectious diseases. Bellman Prize in Mathematical Biosciences. ,vol. 147, pp. 207- 226 ,(1998) , 10.1016/S0025-5564(97)00101-6
Thomas House, Geoffrey Davies, Leon Danon, Matt J. Keeling, A motif-based approach to network epidemics Bulletin of Mathematical Biology. ,vol. 71, pp. 1693- 1706 ,(2009) , 10.1007/S11538-009-9420-Z
Béla Bollobás, Svante Janson, Oliver Riordan, Sparse random graphs with clustering Random Structures and Algorithms. ,vol. 38, pp. 269- 323 ,(2011) , 10.1002/RSA.20322