Evidence map›Paper›PMID 41737612›Full record

ArticleFrontiers in public health2026

Risk factors associated with COVID-19 infection among Chinese elite athletes during overseas training and competitions: a large-scale cross-sectional survey.

Jun Chen, Jing Li, Lianmei Jin, Qirong Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jun Chen *Sports Nutrition Center, National Institute of Sports Medicine, Beijing, China.
Jing Li *Sports Nutrition Center, National Institute of Sports Medicine, Beijing, China.
Lianmei JinHealth Emergency Response Center, Chinese Center for Disease Control and Prevention, Beijing, China.
Qirong WangSports Nutrition Center, National Institute of Sports Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze COVID-19 infection incidence and risk factors among Chinese national team members during overseas training and competitions (April-October 2022) to inform prevention for international events. Methods: A nationwide cross-sectional survey used electronic questionnaires distributed to 69 national teams. A total of 1,020 valid questionnaires were included for analysis, covering athletes, coaches, medical staff, team leaders, and other support personnel. The χ Results: The overall infection rate was 35.5%. Infection rates differed significantly across occupational groups: athletes had the highest rate (37.9%), followed by coaches (29.8%) and team leaders (21.7%). Personnel who participated in both overseas training and competitions presented a significantly higher infection rate (47.9%) than did those who only participated in competitions (19.0%) ( Conclusion: Infection risk among national team members abroad clustered by role, assignment type, and behaviors. Elevated risk was linked to intensive training schedules, suboptimal implementation of prevention protocols, and frequent contact with foreign personnel. Multifaceted interventions-source control, rigorous process management, and strict adherence to personal protective measures-should be strengthened to reduce infection risk.

Indexed as

AthletesCOVID-19AdultChinaCross-Sectional StudiesFemaleHumansIncidenceMaleRisk FactorsSARS-CoV-2Surveys and QuestionnairesTravelCOVID-19cross-sectional studyelite athletesoverseas competitionsrisk factors

Identifiers

PMID41737612
PMCPMC12926398

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.