Predictive Theory of Covid-19 infections at European countries through Bessel functions: Past and present
3rd IEEE International Conference on Transdisciplinary AI, TransAI 2021
; : 72-73, 2021.
Article
in English
| Scopus | ID: covidwho-1752449
ABSTRACT
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”. © 2021 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
3rd IEEE International Conference on Transdisciplinary AI, TransAI 2021
Year:
2021
Document Type:
Article
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