The Chaotic Behavior of the Spread of Infection During the COVID-19 Pandemic in the United States and Globally
| Autor: | Waldemar Karwowski, Mohammad Reza Davahli, Nabin Sapkota, Tadeusz Marek, Redha Taiar, Grzegorz Wrobel, Awad M. Aljuaid, Atsuo Murata |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
2019-20 coronavirus outbreak
animal structures General Computer Science Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Human life Chaotic Biomedical Engineering Science - general COVID-19 pandemic chaotic behavior spread of infections 01 natural sciences 0103 physical sciences Pandemic General Materials Science 010306 general physics 010301 acoustics 0-1 test General Engineering Numerical models Computers and information processing Chaotic behavior TK1-9971 Geography 0–1 test Electrical engineering. Electronics. Nuclear engineering Demography |
| Zdroj: | IEEE Access, Vol 9, Pp 80692-80702 (2021) Ieee Access |
| ISSN: | 2169-3536 |
| Popis: | In December 2019, China announced the breakout of a new virus identified as coronavirus SARS-CoV-2 (COVID-19), which soon grew exponentially and resulted in a global pandemic. Despite strict actions to mitigate the spread of the virus in various countries, COVID-19 resulted in a significant loss of human life in 2020 and early 2021. To better understand the dynamics of the spread of COVID-19, evidence of its chaotic behavior in the US and globally was evaluated. A 0–1 test was used to analyze the time-series data of confirmed daily COVID-19 cases from 1/22/2020 to 12/13/2020. The results show that the behavior of the COVID-19 pandemic was chaotic in 55% of the investigated countries. Although the time-series data for the entire US was not chaotic, 39% of individual states displayed chaotic infection spread behavior based on the reported daily cases. Overall, there is evidence of chaotic behavior of the spread of COVID-19 infection worldwide, which adds to the difficulty in controlling and preventing the current pandemic. |
| Databáze: | OpenAIRE |
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