Title
Entropy of Shannon from Geometrical Modeling of Covid-19 Infections Data: The Cases of USA and India
Date Issued
01 January 2023
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Springer Science and Business Media Deutschland GmbH
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.
Start page
505
End page
513
Volume
542 LNNS
Language
English
OCDE Knowledge area
Enfermedades infecciosas
Ingeniería de sistemas y comunicaciones
Epidemiología
Subjects
Scopus EID
2-s2.0-85138003346
Source
Lecture Notes in Networks and Systems
ISSN of the container
23673370
ISBN of the container
9783031160714
Conference
Intelligent Systems Conference, IntelliSys 2022
Sources of information:
Directorio de Producción Científica
Scopus