Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Exploring the chaotic nature of Covid-19 pandemic: limit cycles and time-lag around the world

Dimotikalis, Ioannis, Skiadas Christos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/9228B62A-3B7D-43FB-88E3-0B4B9A65C3E0-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-030-96964-6_9-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007/978-3-030-96964-6_9-
Γλώσσαen-
Μέγεθος11 pagesen
ΤίτλοςExploring the chaotic nature of Covid-19 pandemic: limit cycles and time-lag around the worlden
ΔημιουργόςDimotikalis, Ioannisen
ΔημιουργόςSkiadas Christosen
ΔημιουργόςΣκιαδας Χρηστοςel
ΕκδότηςSpringeren
ΠερίληψηIn 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.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2024-11-26-
Ημερομηνία Δημοσίευσης2021-
Θεματική ΚατηγορίαCovid-19 pandemicen
Θεματική ΚατηγορίαLimit cyclesen
Θεματική ΚατηγορίαChaosen
Θεματική ΚατηγορίαData setsen
Θεματική ΚατηγορίαMoving averageen
Θεματική ΚατηγορίαHealth stateen
Θεματική ΚατηγορίαNonlinear analysisen
Βιβλιογραφική ΑναφοράY. 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_9en

Υπηρεσίες

Στατιστικά