Evidence map›Paper›PMID 36232099›Full record

ArticleInternational journal of environmental research and public health2022

The Chaotic Behavior of the Spread of Infection during the COVID-19 Pandemic in Japan.

Nabin Sapkota, Atsuo Murata, Waldemar Karwowski, Mohammad Reza Davahli, Krzysztof Fiok, Awad M Aljuaid, Tadeusz Marek, Tareq Ahram

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nabin SapkotaDepartment of Engineering Technology, Northwestern State University of Louisiana, Natchitoches, LA 71459, USA.ORCID 0000-0002-1335-5199
Atsuo MurataDepartment of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan.
Waldemar KarwowskiDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-9134-3441
Mohammad Reza DavahliDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0003-4021-1235
Krzysztof FiokDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-5711-1498
Awad M AljuaidIndustrial Engineering Department, Taif University, Taif 26571, Saudi Arabia.ORCID 0000-0002-3793-4814
Tadeusz MarekDepartment of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, 31-007 Kraków, Poland.
Tareq AhramDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19HumansJapanPandemicsSARS-CoV-2Tokyo0–1 testchaotic behaviorCOVID-19 pandemicthe spread of infections

Identifiers

PMID36232099
PMCPMC9566294

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.