Respiratory syncytial virus immunization in children: The old, the new and what’s just around the corner
Bibliographic record
Abstract
Respiratory syncytial virus (RSV) remains a leading cause of severe lower respiratory tract infection, hospitalization, morbidity and mortality in young children. This review summarizes current RSV immunization strategies and parental perspectives on their use. Until recently, immunization was limited to high-risk infants and children, including those born prematurely or with significant co-morbidities, via monthly dosing with the monoclonal antibody (mAb) palivizumab. Recent approvals of long-acting mAb nirsevimab and the maternal RSV pre-fusion F vaccine combined with other anticipated options such as long-acting mAb clesrovimab, and future pediatric vaccines, signal a shift in RSV immunization. Research studies revealed that consistent education and information on RSV for both, healthcare providers and parents is essential for the immunization program success. We report findings from a survey assessing the level of immunization acceptance among Canadian parents. Provision of education through healthcare professionals, printed materials, parent groups, social media, and the internet were recommended.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".