Viral Respiratory Infections in Hospitalized Children With Symptomatic Caregivers
Bibliographic record
Abstract
OBJECTIVES: The burden of healthcare-associated viral respiratory infections (HAVRIs) among children is significant. While healthcare workers are often the focus for infection prevention strategies, little is known about the impact of sick caregivers and hospital visitors on the incidence of pediatric HAVRIs. The objective of this descriptive study was to determine the proportion of pediatric HAVRIs following contact with a sick caregiver or visitor. METHODS: A retrospective chart review was performed of all HAVRIs that occurred between December 2017 and July 2019 in a pediatric tertiary care center. A HAVRI was defined as a laboratory-confirmed respiratory viral illness occurring more than 72 hours after admission. RESULTS: Forty-four HAVRIs occurred in 37 patients during the study, predominantly among patients aged <24 months (n = 32, 72.7%) and with comorbidities (n = 42, 95.5%). For 9 HAVRIs (20.5%), contact with a sick caregiver (n = 8, 18.2%) or visitor (n = 2, 4.5%) in the 7 days before diagnosis was documented. In the 72 hours before HAVRI onset, 18 of the 44 patients (40.9%) were in a single-bed room and 6 of them (33.3%) were under additional precautions. Twelve patients (27.3%) had new or increased oxygen requirements and 4 (9.1%) were transferred to the ICU. There were no associated deaths. CONCLUSIONS: Contact with a sick caregiver or visitor is a potential risk factor for acquiring a HAVRI. Our study reinforces the importance of engaging family caregivers in infection prevention and control strategies in pediatric care 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".