Information Entropy Contribution to COVID-19 Waves Analysis

The beginning of COVID-19 pandemics was sudden and unexpected in terms of scale and symptoms, channels and territory of propagation in different countries. This article discusses the possible information theory contribution for analysing the waves of pandemics on the example of Bulgaria. Under conditions of uncertainty and non-sufficient statistics the simple and robust data-driven approach based on the concept of information entropy provides additional possibilities for analysing the dynamics of epidemic waves.

• Publication year

  2021

• Venue

  ANTICOVID

• Publication date

  2021-06-28

• Fields of study

  Mathematics, Medicine

• Identifiers
  DOI 10.1007/978-3-030-86582-5_7
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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