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 Incorporating Fuzziness in Spatial Susceptible-Infected Epidemic Models
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AUTOMATA 2009 Proceedings, Sao Paulo, Brazil |
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 In this paper we propose a coupled-map lattice for modelling epidemic spread in a fuzzy setting. The presented model complies with the need for adequate modelling tools to describe and/or predict spatio-temporal phenomena, following the growing availability of spatio-temporal data. Furthermore, our approach does not rely on partial differential equations making it particularly suited to model epidemics in a fuzzy setting. It will be shown that the presented model allows to describe epidemic spread when the magnitude of the initial outbreak and/or the epidemic properties are only imprecisely known.
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