谷歌浏览器插件
订阅小程序
在清言上使用

High SARS-CoV-2 Infection Rate after Resuming Professional Football in São Paulo, Brazil.

British journal of sports medicine(2021)

引用 18|浏览17
暂无评分
摘要
Objective To examine the SARS-CoV-2 infection rate in a cohort of 6500 professional athletes and staff during the 2020 football (soccer) season in Sao Paulo, Brazil. Methods This retrospective cohort study included 4269 players (87% male, age: 21.7 +/- 4.2 years) and 2231 staff (87% male, age: 42.6 +/- 11.9 years) from 122 teams (women: n=16) involved in eight leagues (women: n=2), which took place in Sao Paulo, Brazil. Between 4 July 2020 and 21 December 2020, swab samples were collected weekly (n=29 507) and tested for SARS-Cov-2 via reverse transcription-PCR by an accredited laboratory commissioned by the Sao Paulo Football Federation. We contacted the medical staff of each team with positive cases to collect information on disease severity. Results Among 662 PCR-confirmed cases, 501 were athletes and 161 were staff. The new infection rate was 11.7% and 7.2% for athletes and staff, respectively. Athletes were more susceptible to infection than staff (OR: 1.71, 95% CI: 1.42, 2.06, p<0.001), although with lower chance for moderate to severe disease (OR: 0.06, 95% CI: 0.01, 0.54, p=0.012). Six teams had >= 20 individuals testing positive for SARS-CoV-2, whereas 19 teams had >= 10 confirmed cases. Twenty-five mass outbreaks were identified (>= 5 infections within a team in a 2-week period). The prevalence of SARS-CoV-2 infections was similar in athletes and staff as the general population in Sao Paulo. Conclusion Despite weekly testing and other preventive measures, we found a high SARS-CoV-2 infection rate in athletes and staff after resuming football, which coincides with the high prevalence of infection in the community during the same period. These data may assist policy-makers and sports federations for determining if and when it is safe to resume competitions.
更多
查看译文
关键词
Covid-19,soccer,communicable diseases
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要