Entropy of Shannon from Geometrical Modeling of Covid-19 Infections Data: The Cases of USA and India
Publisher
Springer Link
Journal
Intelligent Systems and Applications
Additional Links
https://link.springer.com/chapter/10.1007/978-3-031-16072-1_37Abstract
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.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/restrictedAccess
Language
eng
Collections
- Ingeniería de Sistemas [300]