Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present
Publisher
Universidad Autónoma del Perú
Journal
2021 Third International Conference on Transdisciplinary AI (TransAI)
Additional Links
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125840882&doi=10.1109%2fTransAI51903.2021.00021&partnerID=40Abstract
The data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging to UK, Germany, Italy and Netherlands. The free parameters of model have been coherently linked to data. Interestingly, it was seen that a "silent period" with the lowest cases of infections play a relevant role for new pandemics as well as the apparition of new strains, such as the most recent "delta-variant".
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/restrictedAccess
Language
eng
Collections
- Ingeniería de Sistemas [300]
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/restrictedAccess