Signal detection of substance-related emergency department visits during UEFA EURO 2024 in Germany: enhancing public health surveillance for future mass gatherings
Year: 2026
Type: article
Study design: Observational Study
Abstract: Introduction: Germany hosted the men's UEFA European Championship (EURO 2024) in summer 2024, attracting millions of visitors across multiple cities. Mass gathering events (MGEs) can rapidly alter social environments which impact substance use behaviors, potentially increasing demand on local healthcare systems. In response, the German national public health institute (Robert Koch Institute, RKI) piloted substance-related indicators using routine emergency department (ED) data from the Emergency Department Data Registry throughout the tournament to explore their applicability for real-time emergency department surveillance. Methods: We aimed to monitor substance use patterns in ED visits during EURO 2024 by developing an umbrella syndrome definition for psychotropic substance intoxication (SATX) and two more specific syndrome definitions for acute alcohol intoxication (ATX) and substance intoxication other than alcohol (STX), based on diagnoses, chief complaints, and age criteria. Descriptive analyses compared identified cases during the tournament period (14 June-14 July 2024) with a reference period. Analyses were stratified by sex, age group, and triage level. A quasi-Poisson regression model was used to estimate expected values and 95% prediction intervals (95% PI) for each indicator during the tournament period. Signals were detected when observed case counts exceeded the upper threshold of the 95% PI. Results: Between 1 January 2018 and 9 September 2024, 5,602,933 visits from 39 EDs were included. Across both the tournament and reference periods, SATX, ATX, and STX cases were more common among males, particularly for ATX. Most SATX and ATX cases occurred among individuals aged 30-59 years, whereas STX cases were most frequent among those aged 20-39 years. Relative increases in triage level 4 cases were observed during the tournament period. During EURO 2024, signals exceeding the upper threshold of the 95% PI were detected for all indicators, including 16 SATX, three ATX, and 13 STX signals. The largest deviation was observed for SATX on 29 June 2024, with 127 observed cases compared to 74 expected cases. Conclusion: This study demonstrated that rapid changes in substance-related ED utilization during MGEs can be effectively monitored using the syndrome definitions and signal detection methods, whose application can support public health surveillance during future events.
Source: Frontiers in Public Health
Authors: Carmen Schlump, Madlen Schranz, Nesrine Charfeddine, Mirjam Rupprecht, Alexander Ullrich, Michaela Diercke, Caroline Grupp, Bernhard Kumle, Bernadett Erdmann, Conrad Grehn, André Gries, Eric Handmann, Domagoj Schunk, Christoph Lewejohann, Matthias Nürnberger, Philipp Kümpers, Stephan Arlt, Harald Dormann, Marina Karg, Martin Bergold, Thomas Henke, Bernd Ulrich, Christian Reich, Andreas Hauf, Thomas Peschel, Thomas Peschel, Thomas Peschel, Kirsten Habbinga, Norbert Pfeufer, Heike Höger-Schmidt, Thomas Baitz, Jörg Brokmann, Carsten Mach, Rupert Grashey, Martin Möckel, Ralf Offermann, Anna Slagman, Rajan Somasundaram, Eike-Christian Kühn, Martin Möckel, Ralf Offermann, Anna Slagman, Tobias Hofmann, Susanne Drynda, Matthias Klein, Matthias Klein, Thomas Händl, Christian Wrede, Markus Wehler, Jürgen Neubauer, Christian Dumpies, Johannes Jubitz, Fabienne Jacob, Henstedt-Ulzburg Sabine Blaschke-Steinbrecher, Katrin Esslinger, Sebastian Wolfrum, Tobias Schilling, Friedrich Reichert, Jacqueline Bauer, Stephan Höft, Stephanie Matis, Sabrina Heinrich, Markus Zimmermann, Frank Hanses, Volker Burst, Hans-Jörg Busch, Felix P. Hans, Jonas Bienzeisler, Hauke Heidemeyer, Alexander Kombeiz, Raphael Majeed, Rainer RÖhrig, Susanne Drynda, Saskia Gieraths, Ronny Otto, Wiebke Schirrmeister, Felix Walcher, Juan Estupinan Mendez
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7219718177
