ABSTRACT
Since the beginning of the COVID -19 pandemic, many contact sport teams are facing major challenges to safely continue training and competition. We present the design and implementation of a structured monitoring concept for the Austrian national football league. 146 professional players from five clubs of the professional Austrian football league were monitored for a period of 12 weeks. Subjective health parameters, PCR- test results and data obtained from a geo-tracking app were collected. Simulations modelling the consequences of a COVID-19 case with increasing reproduction number were computed. No COVID -19 infection occurred during the observation period in the players. Infections in the nearer surroundings lead to increased perceived risk of infection. Geo tracking was particularly hindered due to technical problems and reluctance of users. Simulation models suggested a hypothetical shut-down of all training and competition activities. A structured monitoring concept can help to continue contact sports safely in times of a pandemic. Cooperation of all involved is essential. Trial registration: ID: DRKS00022166 15/6/2020 https://www.who.int/ictrp/search/en/ .
Subject(s)
COVID-19/diagnosis , Computer Simulation , Algorithms , Austria , COVID-19/virology , Humans , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , SoccerABSTRACT
BACKGROUND: This study aimed to explore which measures and risk factors for a COVID - 19 infection are considered most important in the general population, health experts and policymakers and to assess the level of agreement across the groups from Austria and Germany. METHODS: A two-phased survey was conducted, participants were matched according to age and gender. Three different groups were asked which measures they considered most relevant in reducing a COVID-19 transmission, to determine which factors contribute most to the risk of disease, and to evaluate the level of agreement in the assessment of risk factor relevance for (a) the transmission of the disease and (b) the risk of a severe course of COVID-19. RESULTS: Risk factors for an infection that were selected from all three groups were immunosuppression/deficiency, cancer, chronic lung disease, smoking, age and working as a health care professional. Interrater agreement per population was only poor to slight and results were highly heterogeneous. CONCLUSIONS: Our survey shows a broad spectrum of opinions and the associated general uncertainty about the risk factors for infection and a severe course of disease across the groups. Profound knowledge of politicians and experts is of high relevance to provide the public with valid information to ensure cooperation fighting the pandemic. TRIAL REGISTRATION: https://apps.who.int/trialsearch/ (ID: DRKS00022166). Registered 15 June 2020.