Impact of the introduction of rotavirus vaccination on paediatric hospital admissions, Lothian, Scotland: a retrospective observational study
Bibliographic record
Abstract
OBJECTIVE: Rotavirus (RV) vaccination was introduced into the UK vaccination schedule in July 2013. This retrospective observational study assessed, in a UK setting, the impact of the vaccination programme on the number of RV gastroenteritis (RVGE) admissions, the complications of RVGE in hospitalised children, and the impact on hospital-acquired RVGE. DESIGN: Over a 3 year period, 1-year before and 2 years after the introduction of the vaccine, children under 13 years of age in Lothian region with RV+ve stool sample by PCR were identified, retrospectively, and admission data (length of stay, complications) and vaccination status analysed. Viral strain (vaccine/wild type) was typed using PCR-based methods in vaccinated children. RESULTS: Vaccination uptake in the first 2 years of the programme was 93-94%. In the 2 years following vaccine introduction, the annual number of confirmed RVGE admissions fell by 84.7% (95% CI 75.4 to 91.0), from 131 to 20, bed days reduced by 91.1% (86.9 to 94.1), from 325 to 29, and suspected hospital-acquired infections reduced by 95.7% (73.5-99.5), from 23 to 1. The reduction in admissions was seen across all age groups despite the vaccination only being administered to infants. Despite the reduction in incidence, complication rates in children admitted with RVGE remained unchanged across the three study years. A frequent incidental finding was RV vaccine strain in the stools of vaccinated children, up to 43 days after last immunisation. There has been no concurrent increase in rate of intussusception in the region. CONCLUSIONS: These results provide encouraging initial evidence of the public health benefit, including to the unimmunised population, of the RV vaccination programme in the UK.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".