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

Tomoko Matsui,Nourddine Azzaoui,Daisuke Murakami

Japanese Journal of Statistics and Data Science（2022）

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摘要

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.).

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关键词

Closeness testing,Periodical evolution,Key factor analysis,COVID-19 data analysis

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