Influenza vaccination: from epidemiological aspects and advances in research to dissent and vaccination policies
Bibliographic record
Abstract
Influenza is a serious public health problem, since seasonal epidemics affect approximately 5-10% of the population and thus give rise to a heavy social and healthcare burden. The heavy burden of disease is due to several factors, one of which is the biological features of the pathogen. Indeed influenza viruses display high mutation rates and undergo frequent genetic reassortment. Minor variations cause seasonal epidemics and major variations, which result from the hybridization of viruses typical of different animal species, can lead to pandemics. Vaccination remains the most efficacious means of mitigating the harmful healthcare and social effects of influenza. Influenza vaccines have evolved over time in order to offer broader protection against circulating strains. Trivalent vaccines containing two A viruses and one B virus are currently available. However, given the co-circulation of both B virus lineages (B/Yamagata and B/Victoria), quadrivalent vaccines have recently been developed. The new quadrivalent vaccines constitute a great advance, in that they can offer broader strain coverage. Despite the availability of effective and safe influenza vaccines, the Italian public's trust in vaccination has declined and, in the last few years, influenza vaccination coverage rates have decreased both among the elderly and among at-risk adults. It is therefore necessary that users, in their own interests, regain trust in this important means of disease prevention. In order to mitigate the damage wreaked by influenza, it seems important to: (i) improve clinical-epidemiological and virological surveillance of the disease; (ii) promote the development of new efficacious vaccines, as has recently been done through the introduction of the quadrivalent vaccine; (iii) extend free vaccination to the entire population, as in the US and Canada; (iv) ensure that general healthcare professionals are properly informed and always updated with regard to vaccination; (v) promote public campaigns to raise the population's awareness of the importance of vaccination; (vi) inform politicians and other decision-makers of scientific results in the field of vaccination; (vii) fight the antivaccination lobbies with every available weapon.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".