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

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,...

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Detalles Bibliográficos
Autores principales: Matsui, Tomoko, Azzaoui, Nourddine, Murakami, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800557/
https://www.ncbi.nlm.nih.gov/pubmed/35425880
http://dx.doi.org/10.1007/s42081-021-00144-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800557/
https://www.ncbi.nlm.nih.gov/pubmed/35425880
http://dx.doi.org/10.1007/s42081-021-00144-w

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