MATS: Global coverage estimates for 4CMenB, a novel multicomponent meningococcal B vaccine
Bibliographic record
Abstract
Recently approved in the EU, US, Australia, and Canada, 4CMenB (Bexsero(®), GSK Vaccines) is a multi-component meningococcal B (MenB) vaccine containing 3 surface exposed recombinant proteins (fHbp, NadA, and NHBA) and New Zealand strain outer membrane vesicles (NZ OMV) containing PorA 1.4. The accepted correlate of protection to assess response to MenB vaccines, the serum bactericidal assay with human complement, is impractical for large panels of strains with diverse antigenic profile and expression. Therefore, the Meningococcal Antigen Typing System (MATS) was developed to identify MenB strains with a high likelihood of being covered by 4CMenB. MATS is used to assess MenB strain coverage without requiring sera, an advantage for testing large panels of bacterial isolates. MATS provides an accurate, conservative estimate of 4CMenB coverage. In a public-private partnership, 10 reference laboratories around the world were established and standardized to facilitate the timely collection and analysis of regional data. MATS has global public health implications for informing local policy makers of the predicted effect of the implementation of the 4CMenB vaccine. Coverage estimates are similar to or better than other recently approved vaccines, ranging from 66% to 91%. The use of MATS in post-vaccine implementation surveillance could provide data regarding vaccine effectiveness in the field and duration of protection on a global scale that will aid in the development of vaccine booster schedules, if necessary. This MATS approach could potentially be applied rapidly to assess epidemiology of other bacterial pathogens and coverage by other protein-based vaccines.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".