![Ιδρυματικό Αποθετήριο [SANDBOX]](images/dias.logo.png "Ιδρυματικό Αποθετήριο [SANDBOX]"){kind=logo}
Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/9228B62A-3B7D-43FB-88E3-0B4B9A65C3E0 | ||
| Έτος | 2021 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
|
||
| Βιβλιογραφική Αναφορά | Y. Dimotikalis and C. H. Skiadas, "Exploring the chaotic nature of Covid-19 pandemic: limit cycles and time-lag around the world," in 14th Chaotic Modeling and Simulation International Conference, Springer Proceedings in Complexity, C. H. Skiadas, Y. Dimotikalis, Eds., Cham, Switzerland: Springer, 2022, pp. 109–119. doi: 10.1007/978-3-030-96964-6_9 https://doi.org/10.1007/978-3-030-96964-6_9 | ||
| Εμφανίζεται στις Συλλογές |
In this work the Chaotic Nature of the Covid-19 Pandemic data is explored. The Total Deaths (/million) to Total Cases (% population) of Covid-19 data from https://ourworldindata.org/coronavirus website are studied. Large 28 day-delays lead to characteristic Limit Cycles while the lag between applied and adopted measures tend to form characteristic limit cycle forms. A 28-day Moving Average was tested. The data period is from January 2020 to 23 November 2021. The time period is divided to Parts based on chart data curve. Similarities but also differences are present leading to group countries accordingly. An important issue is to explore the Covid-19 spread due to variations of the virus while the vaccine measures expand considerably.
Copyright © DIAS 2013
