Evidence map›Paper›PMID 35537221›Full record

ArticleComputers in biology and medicine2022

Did the Tokyo Olympic Games enhance the transmission of COVID-19? An interpretation with machine learning.

Akimasa Hirata, Sachiko Kodera, Yinliang Diao, Essam A Rashed

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 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

4 authors.

Akimasa HirataDepartment of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, 466-8555, Japan; Center of Biomedical Physics and Information Technology, Nagoya Institute of Technology, Nagoya, 466-8555, Japan. Electronic address: ahirata@nitech.ac.jp.
Sachiko KoderaDepartment of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, 466-8555, Japan.
Yinliang DiaoDepartment of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, 466-8555, Japan.
Essam A RashedGraduate School of Information Science, University of Hyogo, Kobe, 650-0047, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the summer of 2021, the Olympic Games were held in Tokyo during the state of emergency due to the spread of COVID-19 pandemic. New daily positive cases (DPC) increased before the Olympic Games, and then decreased a few weeks after the Games. However, several cofactors influencing DPC exist; consequently, careful consideration is needed for future international events during an epidemic.

methodsThe impact of the Olympic Games on new DPC were evaluated in the Tokyo, Osaka, and Aichi Prefectures using a well-trained and -evaluated long short-term memory (LSTM) network. In addition, we proposed a compensation method based on effective reproduction number (ERN) to assess the effect of the national holidays on the DPC.

resultsDuring the spread phase, the estimated DPC with LSTM was 30%-60% lower than that of the observed value, but was consistent with the compensated value of the ERN for the three prefectures. During the decay phase, the estimated DPC was consistent with the observed values. The timing of the decay coincided with achievement of a fully-vaccinated rate of 10%-15% of people aged <65 years.

conclusionsThe up- and downsurge of the pandemic wave observed in July and September are likely attributable to high ERN during national holiday periods and to the vaccination effect, especially for people aged <65 years. The effect of national holidays in Tokyo was rather notable in Aichi and Osaka, which are distant from Tokyo. The effect of the Olympic Games on the spread and decay of the pandemic wave is neither dominant nor negligible due to the shifting of the national holiday dates to coincide with the Olympic Games.

Indexed as

COVID-19SportsHumansMachine LearningPandemicsTokyoCOVID-19Machine learningNumerical modelingOlympic gamesViral transmission

Identifiers

PMID35537221
PMCPMC9040411

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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.