Predictability of COVID-19 worldwide lethality using permutation-information theory quantifiers
by Leonardo Fernandes et al.This paper examines the predictability of COVID-19 worldwide lethality considering 43 countries. Based on the values inherent to Permutation entropy (Hs) and Fisher information measure (Fs), we apply the Shannon-Fisher causality plane (SFCP), which allows us to quantify the disorder an evaluate randomness present in the time series of daily death cases related to COVID-19 in each country.
25th June 2021 •
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