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Pandemic of Covid-19 as Global Entropy: When Shannon Theory fits To-Date Data of New Infections
2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 ; : 298-301, 2021.
Article in English | Scopus | ID: covidwho-1741185
ABSTRACT
It is well-known that Coronavirus has been propagated due to human activities mainly based at intercontinental flights. Thus, in the first months of 2020, most new countries have already presented peaks in the number of infections, so that airports and borders were closed. With the social restrictions imposed along the beginning of second semester of 2020, the curve of cases of infections has exhibited to be flat in comparison to the beginning of 2020. Therefore, the human activities of end-of-year 2020 have caused againg peaks as the second wave of the pandemic in most countries. So far, by the end of 2021, most countries particularly located at Europe, are exhibiting the fourth wave. In this paper, the entropy of Shannon is considered as inherent mechanism and responsible of waves and large peaks of the number of infections. Modelling of data, the results of this paper suggest the inherent presence of a global entropy due to the transfer of randomness between neighboring countries. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 Year: 2021 Document Type: Article