Evidence map›Paper›PMID 33138115›Full record

ArticleSensors (Basel, Switzerland)2020

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

Bruno Gonçalves, Romeu Mendes, Hugo Folgado, Pedro Figueiredo, Bruno Travassos, Henrique Barros, Adalberto Campos-Fernandes, Paulo Beckert, João Brito

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. How the COVID-19 Pandemic has Changed the Game of Soccer.International journal of sports medicine · 2022
    Article
  5. Article
  6. Modelling the potential spread of virus during soccer matches.BMJ open sport & exercise medicine · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Bruno GonçalvesDepartamento de Desporto e Saúde, Escola de Ciências e Tecnologia, Universidade de Évora, 7000-645 Évora, Portugal.ORCID 0000-0001-7874-4104
Romeu MendesPortugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal.ORCID 0000-0002-3806-438X
Hugo FolgadoDepartamento de Desporto e Saúde, Escola de Ciências e Tecnologia, Universidade de Évora, 7000-645 Évora, Portugal.ORCID 0000-0002-9432-1950
Pedro FigueiredoPortugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal.ORCID 0000-0001-5515-3694
Bruno TravassosPortugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal.ORCID 0000-0002-2165-2687
Henrique BarrosEPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Adalberto Campos-FernandesEscola Nacional de Saúde Pública, Universidade Nova de Lisboa, 1600-560 Lisboa, Portugal.ORCID 0000-0003-3784-8198
Paulo BeckertPortugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal.
João BritoPortugal Football School, Portuguese Football Federation, 1495-433 Oeiras, Portugal.ORCID 0000-0003-1301-1078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

SoccerBetacoronavirusContact TracingCoronavirus InfectionsCOVID-19Cross-Sectional StudiesHumansPandemicsPneumonia, ViralSARS-CoV-2Video Recordingfootballpandemicphysical distancepositional dataSARS-CoV-2tracking systems

Identifiers

PMID33138115
PMCPMC7662218

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.