Evidence map›Paper›PMID 33778137›Full record

ArticleMicrobial risk analysis2021

COVID-19 risk assessment at the opening ceremony of the Tokyo 2020 Olympic Games.

Michio Murakami, Fuminari Miura, Masaaki Kitajima, Kenkichi Fujii, Tetsuo Yasutaka, Yuichi Iwasaki, Kyoko Ono, Yuzo Shimazu, Sumire Sorano, Tomoaki Okuda and 10 more

Abstract read
In one paragraph

Article in Microbial risk analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

20 authors.

Michio MurakamiDepartment of Health Risk Communication, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, Fukushima, 960-1295, Japan.
Fuminari MiuraCenter for Marine Environmental Studies (CMES), Ehime University, 3 Bunkyo, Matsuyama, Ehime, 790-8577, Japan.
Masaaki KitajimaDivision of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido, 060-8628, Japan.
Kenkichi FujiiR&D-Hygiene Science Research Center, Kao Corporation, 2-1-3, Bunka, Sumida, Tokyo, 131-8501, Japan.
Tetsuo YasutakaInstitute for Geo-Resources and Environment, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan.
Yuichi IwasakiResearch Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1, Onogawa, Tsukuba, Ibaraki, 305-8569, Japan.
Kyoko OnoResearch Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1, Onogawa, Tsukuba, Ibaraki, 305-8569, Japan.
Yuzo ShimazuDepartment of Anesthesiology, Southern TOHOKU Research Institute for Neuroscience, Southern TOHOKU General Hospital 7-115, Yatsuyamada, Koriyama, Fukushima, 963-8563, Japan.
Sumire SoranoFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.
Tomoaki OkudaDepartment of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa, 223-8522, Japan.
Akihiko OzakiDepartment of Breast Surgery, Jyoban Hospital of Tokiwa Foundation, 57 Kaminodai, Jyobankamiyunagaya, Iwaki, Fukushima, 972-8322, Japan.
Kotoe KatayamaDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan.
Yoshitaka NishikawaDepartment of Health Informatics, Kyoto University School of Public Health, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Yurie KobashiDepartment of Internal Medicine, Seireikai Group Hirata Central Hospital, 4, Shimizuuchi, Kamiyomogita, Hirata, Ishikawa District, Fukushima, 963-8202 Japan.
Toyoaki SawanoDepartment of Surgery, Sendai City Medical Center, Sendai Open Hospital, 5-22-1, Tsurugaya, Miyagino, Sendai, Miyagi, 983-0824, Japan.
Toshiki AbeDepartment of Rehabilitation, Southern TOHOKU Research Institute for Neuroscience, Southern TOHOKU General Hospital, 7-115, Yatsuyamada, Koriyama, Fukushima, 963-8563, Japan.
Masaya M SaitoDepartment of Information Security, Faculty of Information Systems, University of Nagasaki, 1-1-1, Manabino, Nagayocho, Nishisonogigun, Nagasaki, 851-2195, Japan.
Masaharu TsubokuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, Fukushima, 960-1295, Japan.
Wataru NaitoResearch Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1, Onogawa, Tsukuba, Ibaraki, 305-8569, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2020 Olympic/Paralympic Games have been postponed to 2021, due to the COVID-19 pandemic. We developed a model that integrated source-environment-receptor pathways to evaluate how preventive efforts can reduce the infection risk among spectators at the opening ceremony of Tokyo Olympic Games. We simulated viral loads of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emitted from infectors through talking/coughing/sneezing and modeled temporal environmental behaviors, including virus inactivation and transfer. We performed Monte Carlo simulations to estimate the expected number of newly infected individuals with and without preventive measures, yielding the crude probability of a spectator being an infector among the 60,000 people expected to attend the opening ceremony. Two indicators, i.e., the expected number of newly infected individuals and the newly infected individuals per infector entry, were proposed to demonstrate the extent of achievable infection risk reduction levels by implementing possible preventive measures. A no-prevention scenario produced 1.5-1.7 newly infected individuals per infector entry, whereas a combination of cooperative preventive measures by organizers and the spectators achieved a 99% risk reduction, corresponding to 0.009-0.012 newly infected individuals per infector entry. The expected number of newly infected individuals was calculated as 0.005 for the combination of cooperative preventive scenarios with the crude probability of a spectator being an infector of 1 × 10

Indexed as

COVID-19Infection riskMass gathering eventSolution-focused risk assessmentTokyo 2020 Olympic/Paralympic Games

Identifiers

PMID33778137
PMCPMC7981581

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.