Adult risk groups for vaccine preventable respiratory infections: an overview of the UK environment
Bibliographic record
Abstract
INTRODUCTION: Vaccine-preventable respiratory infections (VPRI) including those caused by Streptococcus pneumoniae, influenza, respiratory syncytial virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pose substantial challenges to health and social care systems. In the UK, routine adult respiratory vaccination programs are in place. The objective of this article is to review the current evidence on the impact of four seasonal VPRIs in adults risk group definitions and to explore the strengths and limitations of current recommendations, and to identify evidence gaps for further research. AREAS COVERED: Relevant evidence on UK data from surveillance systems, observational studies and publicly available government documents is collated and reviewed, as well as selected global data. EXPERT OPINION: Disparities exist between adult risk group categories for different respiratory vaccination programs as defined in the current vaccination guidance. The burden of multiple respiratory pathogens signifies importance of routine multi-pathogen testing with the need for a resilient and large-scale national surveillance system. Further understanding of epidemiological trends and disease burden will help guide decision-making and planning of targeted strategies for disease prevention and control. Addressing inequalities in disease burden and vaccine coverage particularly in clinical risk groups, and promoting equitable vaccine access remain a priority.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 teacher head, 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".