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Article

A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship

Department of Computer Science and Engineering, University of Bologna, 40127 Bologna, Italy
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Academic Editor: Davide Tosi
Future Internet 2021, 13(8), 212; https://doi.org/10.3390/fi13080212
Received: 2 August 2021 / Revised: 14 August 2021 / Accepted: 15 August 2021 / Published: 17 August 2021
(This article belongs to the Special Issue Software Engineering and Data Science)
While Europe was beginning to deal with the resurgence of COVID-19 due to the Delta variant, the European football championship took place from 11 June to 11 July 2021. We studied the inversion in the decreased/increased rate of new SARS-COV-2 infections in the countries of the tournament, investigating the hypothesis of an association. Using a Bayesian piecewise regression with a Poisson generalized linear model, we looked for a changepoint in the timeseries of the new SARS-COV-2 cases of each country, expecting it to appear not later than two to three weeks after the date of their first match. The two slopes, before and after the changepoint, were used to discuss the reversal from a decreasing to an increasing rate of the infections. For 17 out of 22 countries (77%) the changepoint came on average 14.97 days after their first match (95% CI 12.29–17.47). For all those 17 countries, the changepoint coincides with an inversion from a decreasing to an increasing rate of the infections. Before the changepoint, the new cases were decreasing, halving on average every 18.07 days (95% CI 11.81–29.42). After the changepoint, the cases begin to increase, doubling every 29.10 days (95% CI 14.12–9.78). This inversion in the SARS-COV-2 case rate, which happened during the tournament, provides evidence in favor of a relationship. View Full-Text
Keywords: SARS-COV-2; Bayesian regression; changepoint detection; European football championship SARS-COV-2; Bayesian regression; changepoint detection; European football championship
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MDPI and ACS Style

Casini, L.; Roccetti, M. A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship. Future Internet 2021, 13, 212. https://doi.org/10.3390/fi13080212

AMA Style

Casini L, Roccetti M. A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship. Future Internet. 2021; 13(8):212. https://doi.org/10.3390/fi13080212

Chicago/Turabian Style

Casini, Luca, and Marco Roccetti. 2021. "A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship" Future Internet 13, no. 8: 212. https://doi.org/10.3390/fi13080212

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