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Entropy of Shannon from Geometrical Modeling of Covid-19 Infections Data: The Cases of USA and India
Intelligent Systems Conference, IntelliSys 2022 ; 542 LNNS:505-513, 2023.
Article in English | Scopus | ID: covidwho-2048136
ABSTRACT
Between the end of second semester of 2020 and along the first semester of 2021, Covid-19 has had a strong impact on United States and India as seen at the official statistics exhibiting a big number of new infections as well as fatalities, particularly India that have had sharp peaks at March 2021. The present paper addresses the question if there is a entropic nature in these cases from an intuitive model based at simple geometries that adjust well the histograms of new infections versus time. Although the geometry-based models might not be satisfactory in all, it provides a view that would lead to answer intrinsic questions related to the highest peaks of pandemic if these have a nature cause or are strongly related to disorder as dictated by Shannon’s entropy for instance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Intelligent Systems Conference, IntelliSys 2022 Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Intelligent Systems Conference, IntelliSys 2022 Year: 2023 Document Type: Article