Abstract
An exploration in Symbolic Computational bio-surveillance is showed. The main obtained results are that the geometry of the habitat determines the critical parameters via the zeroes of the Bessel functions and the explicit forms of the static and non-static spatial epidemic patterns.
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Hincapié, D., Ospina, J. (2007). Spatial Epidemic Patterns Recognition Using Computer Algebra. In: Zeng, D., et al. Intelligence and Security Informatics: Biosurveillance. BioSurveillance 2007. Lecture Notes in Computer Science, vol 4506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72608-1_22
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DOI: https://doi.org/10.1007/978-3-540-72608-1_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72607-4
Online ISBN: 978-3-540-72608-1
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