Symptomatic SARS-CoV-2 Transmission in Youth and Staff Attending Day Camps
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: As schools reopen nationwide, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in youth settings remains a concern. Here, we describe transmission of SARS-CoV-2 among >6800 youth and staff at YMCA of the Triangle day camps in North Carolina (March to August 2020). METHODS: We performed a retrospective analysis of deidentified SARS-CoV-2 cases reported by YMCA day camps in 6 counties (Chatham, Durham, Johnston, Lee, Orange, Wake) over 147 days. Inclusion criteria were youth and staff who enrolled or worked in camps during the study period. Individual-level youth and staff demographics (age, sex, race and ethnicity) were self-reported and linked to SARS-CoV-2 case data by using unique identifiers. RESULTS: = 1486) were 64% white and 60% female (mean age 22 years). Seventeen primary SARS-CoV-2 infections occurred during the study period among 9 youth (mean age 9.7 years) and 8 staff (mean age 27 years) who were linked to 3030 contacts present in-person during the week before positive cases. Only 2 secondary infections (1 youth and 1 staff) were linked to primary cases. SARS-CoV-2 primary case attack rate was 0.6% (17/3030), and secondary case transmission rate was 0.07% (2/3011). CONCLUSIONS: Extremely low youth and staff symptomatic SARS-CoV-2 attack and transmission rates were observed over a 147-day period across 54 YMCA camps from March to August 2020, when local coronavirus disease 2019 prevalence peaked. These findings suggest that the benefit of in-person programming in recreation settings with appropriate mitigation may outweigh the risk of viral transmission.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".