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Communication Dans Un Congrès Année : 2021

Information Entropy Contribution to COVID-19 Waves Analysis

Résumé

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.
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hal-03746666 , version 1 (05-08-2022)

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Iliyan Petrov. Information Entropy Contribution to COVID-19 Waves Analysis. 1st International Conference on Computer Science Protecting Human Society Against Epidemics (ANTICOVID), Jun 2021, Virtual, Poland. pp.65-76, ⟨10.1007/978-3-030-86582-5_7⟩. ⟨hal-03746666⟩
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