Isolated rhinorrhea in the presentation of SARS-CoV-2 infection among preschool- versus school-aged children
Bibliographic record
Abstract
Objectives: Rapid identification and isolation of SARS-CoV-2 cases are priorities in school and child care settings to prevent further outbreaks. The objective of this study was to compare the clinical presentation of SARS-CoV-2 infections among preschool (<5 years) versus school-aged (≥5 years) children diagnosed with SARS-CoV-2 infection, and, specifically, the probability of presenting with an isolated symptom, such rhinorrhea or sore throat. Methods: Retrospective study of children (≤18 years of age) diagnosed with SARS-CoV-2 in the outpatient COVID-19 clinic or the Emergency Department at the Centre Hospitalier Universitaire Sainte-Justine (Montreal, Quebec, Canada) February through May 2020. Results: Of 3,789 children tested, 105 (3%) were positive for SARS-CoV-2, and 104 included in the analysis (n=49 age <5 years and n=55 age ≥5 years). While fever was the most common presenting symptom across both age groups, in the absence of fever, the presence of a combination of two or more symptoms identified the majority (92%) of cases. Isolated single symptom presentations were uncommon (<5% of cases). Most importantly, not a single child in either age group presented with isolated rhinorrhea or sore throat. Conclusions: While there are differences in the clinical manifestations of COVID-19 in preschool- versus school-aged children, in both age groups, isolated rhinorrhea was not a manifestation of SARS-CoV-2 infection. These results could help further guide testing criteria and exclusion criteria in child care and school settings.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".