English

Analysis of COVID-19 evolution based on testing closeness of sequential data

Methodology 2021-07-01 v1
Authors: Tomoko Matsui , Nourddine Azzaoui , Daisuke Murakami
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Abstract

A practical algorithm has been developed for closeness analysis of sequential data that combines closeness testing with algorithms based on the Markov chain tester. It was applied to reported sequential data for COVID-19 to analyze the evolution of COVID-19 during a certain time period (week, month, etc.).

Keywords

covid-19 epidemiology social science statistics

Cite

@article{arxiv.2106.16094,
  title  = {Analysis of COVID-19 evolution based on testing closeness of sequential data},
  author = {Tomoko Matsui and Nourddine Azzaoui and Daisuke Murakami},
  journal= {arXiv preprint arXiv:2106.16094},
  year   = {2021}
}

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R2 v1 2026-06-24T03:46:05.270Z