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Tracking Uncertainty in a Spatially Explicit Susceptible-Infected Epidemic Model

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Cellular Automata (ACRI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6350))

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Abstract

In this paper we conceive an interval-valued continuous cellular automaton for describing the spatio-temporal dynamics of an epidemic, in which the magnitude of the initial outbreak and/or the epidemic properties are only imprecisely known. In contrast to well-establish-ed approaches that rely on probability distributions for keeping track of the uncertainty in spatio-temporal models, we resort to an interval representation of uncertainty. Such an approach lowers the amount of computing power that is needed to run model simulations, and reduces the need for data that are indispensable for constructing the probability distributions upon which other paradigms are based.

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Author information

Authors and Affiliations

  1. KERMIT, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, Gent, Belgium

    Jan M. Baetens & Bernard De Baets

Authors
  1. Jan M. Baetens
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  2. Bernard De Baets
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Editor information

Editors and Affiliations

  1. Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, Viale Sarca 336, Milano, Italy

    Stefania Bandini , Sara Manzoni  & Giuseppe Vizzari ,  & 

  2. University of Osaka Electro-Communication, 572-8530, Neyagawa, Osaka, Japan

    Hiroshi Umeo

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Baetens, J.M., De Baets, B. (2010). Tracking Uncertainty in a Spatially Explicit Susceptible-Infected Epidemic Model. In: Bandini, S., Manzoni, S., Umeo, H., Vizzari, G. (eds) Cellular Automata. ACRI 2010. Lecture Notes in Computer Science, vol 6350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15979-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-15979-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15978-7

  • Online ISBN: 978-3-642-15979-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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