Detecting nonlinearity and chaos in epidemic data
Description:
Historical data on recurrent epidemics have been central to the debate about the prevalence of chaos in biological population dynamics. Schaffer and Kot who first recognized that the abundance and accuracy of disease incidence data opened the door to applying a range of methods for detecting chaos that had been devised in the early 1980`s. Using attractor reconstruction, estimates of dynamical invariants, and comparisons between data and simulation of SEIR models, the ``case for chaos in childh…
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Date:
August 1, 1993
Creator:
Ellner, S.; Gallant, A. R. & Theiler, J.
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UNT Libraries Government Documents Department