Evidence map›Paper›PMID 36653337›Full record

ArticleNature communications2023

Impact of the Euro 2020 championship on the spread of COVID-19.

Jonas Dehning, Sebastian B Mohr, Sebastian Contreras, Philipp Dönges, Emil N Iftekhar, Oliver Schulz, Philip Bechtle, Viola Priesemann

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. The theory of epidemics with altruism.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Jonas Dehning *Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077, Göttingen, Germany.ORCID 0000-0002-1728-2505
Sebastian B Mohr *Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077, Göttingen, Germany.ORCID 0000-0002-4721-0561
Sebastian ContrerasMax Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077, Göttingen, Germany.ORCID 0000-0001-8909-774X
Philipp DöngesMax Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077, Göttingen, Germany.ORCID 0000-0003-4275-7311
Emil N IftekharMax Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077, Göttingen, Germany.ORCID 0000-0003-0188-500X
Oliver SchulzMax Planck Institute for Physics, Föhringer Ring 6, 80805, München, Germany.ORCID 0000-0002-4200-5905
Philip BechtlePhysikalisches Institut, Universität Bonn, Nußallee 12, 53115, Bonn, Germany. bechtle@physik.uni-bonn.de.ORCID 0000-0003-3479-2221
Viola PriesemannMax Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077, Göttingen, Germany. viola.priesemann@ds.mpg.de.ORCID 0000-0001-8905-5873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale events like the UEFA Euro 2020 football (soccer) championship offer a unique opportunity to quantify the impact of gatherings on the spread of COVID-19, as the number and dates of matches played by participating countries resembles a randomized study. Using Bayesian modeling and the gender imbalance in COVID-19 data, we attribute 840,000 (95% CI: [0.39M, 1.26M]) COVID-19 cases across 12 countries to the championship. The impact depends non-linearly on the initial incidence, the reproduction number R, and the number of matches played. The strongest effects are seen in Scotland and England, where as much as 10,000 primary cases per million inhabitants occur from championship-related gatherings. The average match-induced increase in R was 0.46 [0.18, 0.75] on match days, but important matches caused an increase as large as +3. Altogether, our results provide quantitative insights that help judge and mitigate the impact of large-scale events on pandemic spread.

Indexed as

COVID-19SoccerBayes TheoremEnglandHumansScotland

Identifiers

PMID36653337
PMCPMC9849464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.