The Chaotic Behavior of the Spread of Infection during the Covid-19 Pandemic in Japan
Bibliographic Data
| ID | 15500779 |
|---|---|
| Authors | Nabin Sapkota (0000-0002-1335-5199, Northwestern State University), Atsuo Murata (0000-0002-8378-604X, Okayama University), Waldemar Karwowski (0000-0002-9134-3441, University of Central Florida), Mohammad Reza Davahli (0000-0003-4021-1235, University of Central Florida, corresponding author), Krzysztof Fiok (0000-0001-5711-1498, University of Central Florida), Awad M Aljuaid (0000-0002-3793-4814, Taif University), Tadeusz Marek (0000-0003-1432-5626, Jagiellonian University), Tareq Ahram (University of Central Florida) |
| Year | 2022 |
| Volume | 19 |
| Issue | 19 |
| Pages | 12804-12804 |
| Publication date | 2022-10-06 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph191912804 |
| PMID | 36232099 |
| OpenAlex | W4303696445 |
| Language | EN |
| Citations received | 3 |
| References cited | 32 |
In December 2019, China reported a new virus identified as SARS-CoV-2, causing COVID-19, which soon spread to other countries and led to a global pandemic. Although many countries imposed strict actions to control the spread of the virus, the COVID-19 pandemic resulted in unprecedented economic and social consequences in 2020 and early 2021. To understand the dynamics of the spread of the virus, we evaluated its chaotic behavior in Japan. A 0-1 test was applied to the time-series data of daily COVID-19 cases from January 26, 2020 to August 5, 2021 (3 days before the end of the Tokyo Olympic Games). Additionally, the influence of hosting the Olympic Games in Tokyo was assessed in data including the post-Olympic period until October 8, 2021. Even with these extended time period data, although the time-series data for the daily infections across Japan were not found to be chaotic, more than 76.6% and 55.3% of the prefectures in Japan showed chaotic behavior in the pre- and post-Olympic Games periods, respectively. Notably, Tokyo and Kanagawa, the two most populous cities in Japan, did not show chaotic behavior in their time-series data of daily COVID-19 confirmed cases. Overall, the prefectures with the largest population centers showed non-chaotic behavior, whereas the prefectures with smaller populations showed chaotic behavior. This phenomenon was observed in both of the analyzed time periods (pre- and post-Olympic Games); therefore, more attention should be paid to prefectures with smaller populations, in which controlling and preventing the current pandemic is more difficult
2019-20 coronavirus outbreak · Biology · Chaotic · China · Coronavirus disease 2019 (COVID-19 · Economics · Geography · Outbreak · Pandemic · Population · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Sociology · Statistics · Time series · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Mathematics · Medicine · Viral Infections and Vectors · Virology
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| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |