True epidemic growth construction through harmonic analysis.

Journal: Journal of theoretical biology
Published Date: Mar 12, 2020

Abstract

In this paper, we have proposed a two-phase procedure (combining discrete graphs and wavelets) for constructing true epidemic growth. In the first phase, a graph-theory-based approach was developed to update partial data available and in the second phase, we used this partial data to generate plausible complete data through wavelets. We have provided two numerical examples. This procedure is novel and implementable and adaptable to machine learning modeling framework.

Authors

  • Steven G Krantz
    Department of Mathematics, Washington University in St. Louis, Campus Box 1146 One Brookings Drive St. Louis, Missouri, MI 63130, USA. Electronic address: sk@math.wustl.edu.
  • Peter Polyakov
    Department of Mathematics, University of Wyoming, Laramie, Wyoming, 82071, USA. Electronic address: polyakov@uwyo.edu.
  • Arni S R Srinivasa Rao
    Division of Health Economics and Modeling, Department of Population Health Sciences, Augusta, USA; Laboratory for Theory and Mathematical Modeling, Department of Medicine - Division of Infectious Diseases, Medical College of Georgia, USA; Department of Mathematics, Augusta University, Georgia, 30912 USA. Electronic address: arrao@augusta.edu.

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