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Cluster formation for multi-strain infections with cross-immunity

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Title: Cluster formation for multi-strain infections with cross-immunity
Authors: Calvez, V. Browse this author
Korobeinikov, A. Browse this author
Maini, P.K. Browse this author
Keywords: mathematical modelling
infectious disease
Issue Date: 7-Mar-2005
Publisher: Academic Press
Journal Title: Journal of Theoretical Biology
Volume: 233
Issue: 1
Start Page: 75
End Page: 83
Publisher DOI: 10.1016/j.jtbi.2004.09.016
Abstract: Many infectious diseases exist in several pathogenic variants, or strains, which interact via cross-immunity. It is observed that strains tend to self-organise into groups, or clusters. The aim of this paper is to investigate cluster formation. Computations demonstrate that clustering is independent of the model used, and is an intrinsic feature of the strain system itself. We observe that an ordered strain system, if it is su ciently complex, admits several cluster structures of di erent types. Appearance of a particular cluster structure depends on levels of cross-immunity and, in some cases, on initial conditions. Clusters, once formed, are stable, and behave remarkably regularly (in contrast to the generally chaotic behaviour of the strains themselves). In general, clustering is a type of self-organization having many features in common with pattern formation.
Type: article (author version)
Appears in Collections:電子科学研究所 (Research Institute for Electronic Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Andrei Korobeinikov

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