True epidemic growth construction through harmonic analysis

Steven G. Krantz, Peter Polyakov, Arni S.R.Srinivasa Rao

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


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.

Original languageEnglish (US)
Article number110243
JournalJournal of Theoretical Biology
StatePublished - Jun 7 2020


  • Convergence of graphs
  • Partial to complete data
  • Wavelets

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • General Agricultural and Biological Sciences
  • Applied Mathematics


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