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Spatial self-organization in a multi-strain host-pathogen system

Liu, Q.X. and Wang, R.H. and Jin, Z. and Van de Koppel, J. and Alonso, D. (2010) Spatial self-organization in a multi-strain host-pathogen system. Journal of Statistical Mechanics: Theory and Experiment, P05017. ISSN 1742-5468.

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Official URL: http://dx.doi.org/10.1088/1742-5468/2010/05/P05017

Abstract

We develop stochastic spatial epidemic models with the competition of two pathogenic strains. The dynamics resulting from different approaches are examined using both non-spatial and spatially explicit models. Our results show that pair approximation, well-mixed ordinary differential equations (ODEs), Gillespie-algorithm-based simulations and spatially explicit models give similar qualitative results. In particular, the temporal evolution of the spatial model can be successfully approximated by pair equations. Simulation results obtained from the spatially explicit model show that, first, mutation plays a major role in multi-strain coexistence, second, mild virulence remarkably decreases the coexistence domain of the parameter space and, third, large-scale self-organized spatial patterns emerge for a wide range of transmission and virulence parameter values, where spatial self-organized clusters reveal a power law behavior within the coexistence domain.

Item Type:Article
Institutes:Nederlands Instituut voor Ecologie (NIOO)
ID Code:6482
Deposited On:01 Jul 2010 02:00
Last Modified:24 Apr 2012 16:43

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