Version 1
: Received: 3 August 2021 / Approved: 4 August 2021 / Online: 4 August 2021 (12:58:33 CEST)
Version 2
: Received: 13 August 2021 / Approved: 16 August 2021 / Online: 16 August 2021 (10:57:52 CEST)
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 Internet2021, 13, 212.
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.
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 Internet2021, 13, 212.
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.
Abstract
While Europe was beginning to deal with the resurgence of COVID-19 due to the Delta variant, the European football championship took place, June 11 - July 11, 2021. We studied the inversion in the decrease/increase 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 to 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 to 29.42]. After the changepoint, the cases begin to increase, doubling every 29.10 days [95% CI 14.12 to 49.78]. This inversion in the SARS-COV-2 case rate, happened during the tournament, provides evidence in favor of a relationship
Keywords
SARS-COV-2; Bayesian regression; Changepoint detection; European football championship
Subject
Computer Science and Mathematics, Algebra and Number Theory
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
16 August 2021
Commenter:
Marco Roccetti
Commenter's Conflict of Interests:
Author
Comment:
This a revised version of our manuscript following the revisions requested by the Reviewers of the MDPI journal where we had submitted the first version of the paper
Commenter: Marco Roccetti
Commenter's Conflict of Interests: Author