Social Behaviors Associated with SARS-CoV-2 Test Positivity Among Children Evaluated in Canadian Emergency Departments, 2020 to 2022: A Cross-Sectional Survey Study
Bibliographic record
Abstract
OBJECTIVE: To evaluate how social behaviors relate to SARS-CoV-2 test positivity across pediatric age groups. METHODS: Multicenter, cross-sectional study recruiting children <18 years old tested for SARS-CoV-2 infection in emergency departments between 2020 and 2022. We used multivariate logistic regression to assess how self-reported social behaviors affect SARS-CoV-2 test positivity across four age groups. Causal mediation analysis quantified how mask-wearing and presence of an infected close contact mediated the SARS-CoV-2 risk of given behaviors. RESULTS: Seven thousand two hundred and seventy two children were enrolled and 1457 (20.0%) tested positive for SARS-CoV-2. Attending a social gathering was associated with increased odds (aOR 1.64, 95% CI: 1.05, 2.57) of SARS-CoV-2 positivity among children aged 5-<12 years. Those attending in-person school/daycare were less likely to test positive for SARS-CoV-2 across all age categories. Attending childcare was associated with 16.3% (95% CI: -21.0%, -11.2%) and 9.0% (95% CI: -11.6%, -6.5%) reductions in the probability of testing positive for SARS-CoV-2 infection, with 53.5% (95% CI: 39.2%, 73.9%) and 22.8% (95% CI: 9.7%, 36.2%) of the effects being mediated by the presence of a close contact among <1 year and 1-<5 year age groups, respectively. Masking in public mediated the association between childcare attendance and SARS-CoV-2 positivity in children aged <1 year. CONCLUSIONS: Attending social gatherings increased the risk of SARS-CoV-2 test positivity in 5-<12-year-old children, but in-person daycare/school was associated with a reduced odds of testing positive across all ages. Settings with high public health adherence (ie, schools) reduced the risk of testing positive for SARS-CoV-2, possibly from reduced close contact with SARS-CoV-2 positive individuals.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".