Next Article in Journal
Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network
Next Article in Special Issue
Global Positioning System Analysis of Physical Demands in Small and Large-Sided Games with Floaters and Official Matches in the Process of Return to Play in High Level Soccer Players
Previous Article in Journal
A Body Tracking-Based Low-Cost Solution for Monitoring Workers’ Hygiene Best Practices during Pandemics
Previous Article in Special Issue
Kinematic Analysis of the Postural Demands in Professional Soccer Match Play Using Inertial Measurement Units
Open AccessFeature PaperArticle

Can Tracking Data Help in Assessing Interpersonal Contact Exposure in Team Sports during the COVID-19 Pandemic?

1
Departamento de Desporto e Saúde, Escola de Ciências e Tecnologia, Universidade de Évora, 7000-645 Évora, Portugal
2
Comprehensive Health Research Centre (CHRC), Universidade de Évora, 7000-645 Évora, Portugal
3
Portugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal
4
EPIUnit—Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal
5
Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University Institute of Maia (ISMAI), 4475-690 Maia, Portugal
6
Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), University of Beira Interior, 6201-001 Covilhã, Portugal
7
Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, 1600-560 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(21), 6163; https://doi.org/10.3390/s20216163
Received: 27 September 2020 / Revised: 24 October 2020 / Accepted: 28 October 2020 / Published: 29 October 2020
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. View Full-Text
Keywords: positional data; tracking systems; football; SARS-CoV-2; pandemic; physical distance positional data; tracking systems; football; SARS-CoV-2; pandemic; physical distance
Show Figures

Figure 1

MDPI and ACS Style

Gonçalves, B.; Mendes, R.; Folgado, H.; Figueiredo, P.; Travassos, B.; Barros, H.; Campos-Fernandes, A.; Beckert, P.; Brito, J. Can Tracking Data Help in Assessing Interpersonal Contact Exposure in Team Sports during the COVID-19 Pandemic? Sensors 2020, 20, 6163.

AMA Style

Gonçalves B, Mendes R, Folgado H, Figueiredo P, Travassos B, Barros H, Campos-Fernandes A, Beckert P, Brito J. Can Tracking Data Help in Assessing Interpersonal Contact Exposure in Team Sports during the COVID-19 Pandemic? Sensors. 2020; 20(21):6163.

Chicago/Turabian Style

Gonçalves, Bruno; Mendes, Romeu; Folgado, Hugo; Figueiredo, Pedro; Travassos, Bruno; Barros, Henrique; Campos-Fernandes, Adalberto; Beckert, Paulo; Brito, João. 2020. "Can Tracking Data Help in Assessing Interpersonal Contact Exposure in Team Sports during the COVID-19 Pandemic?" Sensors 20, no. 21: 6163.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop