Dynamics of SARS-CoV-2 genetic mutations and their information entropy

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We report an investigation of the mutations dynamics of the SARS-CoV-2 virus using Shannon’s information theory. Our study includes seventeen RNA genetic sequences collected at different geographic locations and timeframes ranging from Dec. 2019 to Oct. 2021. The data shows a previously unobserved relationship between the information entropy of genomes and their mutation dynamics. The information entropy of the mutated variants decreases linearly with the number of genetic mutations with a negative slope of 1.52 x 10 to power -5 bits / mutations, pointing to a possible deterministic approach to the dynamics of genetic mutations. The method proposed here could be used to develop a predictive algorithm of genetic mutations.
Original languageEnglish
Number of pages6
Publication statusPublished - 14 Jun 2022


  • genetic mutations
  • information theory
  • entropy of information


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