Surveillance for Influenza Admissions Among Children Hospitalized in Canadian Immunization Monitoring Program Active Centers, 2003–2004
Bibliographic record
Abstract
OBJECTIVES: Influenza is a common childhood infection that may result in hospitalization. Our objectives were to (1) determine characteristics of children hospitalized for influenza and disease manifestations and (2) obtain baseline data before implementation of new recommendations for routine immunization of young children and their caretakers against influenza. METHODS: All of the children hospitalized with laboratory-confirmed influenza at 9 Canadian tertiary care hospitals during the 2003-2004 influenza season were identified from virology laboratory reports, and their charts were reviewed. RESULTS: There were 505 children admitted because of influenza. Fifty-seven percent were < 2 years old. Previously healthy children accounted for 58% of all of the cases. Pulmonary and neurologic disorders were the most common underlying chronic conditions. Fever and cough were the most frequent manifestations. Seizures occurred in 9% of cases. Serious complications included myocarditis (2), encephalopathy (6), and meningitis (1). There were 3 influenza-related deaths. Mean duration of hospitalization was 5.3 days. Twelve percent of children required ICU admission, and 6% required mechanical ventilation. Antibiotic therapy was administered in 77% of cases, and 7% received anti-influenza drugs. Information on influenza vaccination was available for 84 of 154 children identified as vaccine candidates. Twenty two had received vaccine, but only 7 children had been fully immunized > 14 days before the onset of illness. CONCLUSIONS: Healthy young children and children with chronic conditions are at risk for serious illness with influenza. Ongoing surveillance is needed to evaluate the impact of changing immunization recommendations on the burden of influenza illness in children.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 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".