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http://hdl.handle.net/10362/151142| Título: | Can tracking data help in assessing interpersonal contact exposure in team sports during the COVID-19 pandemic? |
| Autor: | Gonçalves, Bruno Mendes, Romeu Folgado, Hugo Figueiredo, Pedro Travassos, Bruno Barros, Henrique Campos-Fernandes, Adalberto Beckert, Paulo Brito, João |
| Palavras-chave: | Football Pandemic Physical distance Positional data SARS-CoV-2 Tracking systems Analytical Chemistry Information Systems Atomic and Molecular Physics, and Optics Biochemistry Instrumentation Electrical and Electronic Engineering SDG 8 - Decent Work and Economic Growth |
| Data: | 1-Nov-2020 |
| Resumo: | During the COVID-19 pandemic, the temporary closure of physical activity and sports facilities, and the generalized cancellation or postponement of sports events have a massive impact on social and economic development. In this study, we explored the feasibility of using tracking data from a football match to assess interpersonal contact between individuals by calculating two measures of respiratory exposure. The dynamic tracking positioning of all players and referees during one international football match was analyzed. For each individual, two measures of respiratory exposure were calculated, based on the 2 m interpersonal distance recommendations for contact tracing for COVID-19 control. Overall, individuals spent a median of 0.12 mm/ss (IQR = 0.45 mm/ss) exposed to interpersonal contact of fewer than 2 m from others. The highest value of exposure was observed between two players of opposing teams (6.35 mm/ss). The results suggest that tracking data can be used to assess respiratory exposure to interpersonal contact in team sports, such as football. The measures of exposure calculated can be used to the prompt identification of high-risk contacts of COVID-19 cases during a match or a training session, but also the risk stratification of different sports and physical activities. |
| Descrição: | Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
| Peer review: | yes |
| URI: | http://hdl.handle.net/10362/151142 |
| DOI: | https://doi.org/10.3390/s20216163 |
| ISSN: | 1424-8220 |
| Aparece nas colecções: | Home collection (ENSP) |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Gon_alves_Sensors_2020_20_6163.pdf | 2,62 MB | Adobe PDF | Ver/Abrir |
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