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pubmed-article:15172803pubmed:abstractTextWe consider a stochastic SIS infection model for a population partitioned into m households assuming random mixing. We solve the model in the limit m --> infinity by using the self-consistent field method of statistical physics. We derive a number of explicit results, and give numerical illustrations. We then do numerical simulations of the model for finite m and without random mixing. We find in many of these cases that the self-consistent field method is a very good approximation.lld:pubmed
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pubmed-article:15172803pubmed:authorpubmed-author:SokolovI MIMlld:pubmed
pubmed-article:15172803pubmed:authorpubmed-author:SanderL MLMlld:pubmed
pubmed-article:15172803pubmed:authorpubmed-author:GhoshalGGlld:pubmed
pubmed-article:15172803pubmed:copyrightInfoCopyright 2004 Elsevier Inc.lld:pubmed
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pubmed-article:15172803pubmed:volume190lld:pubmed
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pubmed-article:15172803pubmed:pagination71-85lld:pubmed
pubmed-article:15172803pubmed:dateRevised2009-11-11lld:pubmed
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pubmed-article:15172803pubmed:year2004lld:pubmed
pubmed-article:15172803pubmed:articleTitleSIS epidemics with household structure: the self-consistent field method.lld:pubmed
pubmed-article:15172803pubmed:affiliationMichigan Center for Theoretical Physics, Department of Physics, University of Michigan, Ann Arbor, MI 48109-1120, USA.lld:pubmed
pubmed-article:15172803pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:15172803pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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