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

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.

69 pages, 52 figures

References in corpus (5)

• Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions
• The challenges of containing SARS-CoV-2 via test-trace-and-isolate
• A look into the future of the COVID-19 pandemic in Europe: an expert consultation
• Low case numbers enable long-term stable pandemic control without lockdowns
• Risk assessment for airborne disease transmission by poly-pathogen aerosols