Cost-effectiveness Comparison of Monovalent C Versus Quadrivalent ACWY Meningococcal Conjugate Vaccination in Canada
Bibliographic record
Abstract
BACKGROUND: In Quebec, 1 dose of monovalent C meningococcal conjugate vaccine (Men-C-Con) is offered at 12 months of age and a booster dose in grade 9 (14-15 years of age). In other Canadian provinces, a quadrivalent vaccine against serogroups ACWY (Men-4-Con) is increasingly used for adolescents. An economic analysis was performed to assess the value of a switch from Men-C-Con to Men-4-Con. METHODS: A compartmental static simulation model was developed to assess the burden of invasive meningococcal disease due to serogroups AWY (AWY-IMD) in a cohort of 100,000 persons with different vaccination programs. Univariate and multivariate sensitivity analyses were performed, including variation in vaccine price difference ($12; range: $0-$20), AWY-IMD rate (0.08/100,000 to 0.28/100,000 person-years), level of herd immunity generated by adolescent vaccination (from zero to disease elimination) and discounting rate (0%, 3% or 6%). RESULTS: In the low AWY-IMD rate base scenario, replacing Men-C-Con by Men-4-Con for adolescents would reduce disease burden by 16% (no herd effect) to 58% (moderate herd effect), with an incremental cost-effectiveness ratios between $445,000 per quality-adjusted life-year (QALY) and $167,000/QALY in a societal perspective. In the high AWY-IMD rate scenario, incremental cost-effectiveness ratio would be in the range of $97,000/QALY to $19,000/QALY. CONCLUSION: Based on the epidemiologic conditions in Quebec and in most other Canadian provinces, the benefits of Men-4-Con in reducing the burden of disease would be low for a high cost. The switch would, however, be more economically attractive with a much higher incidence rate (as in a few provinces) or with a reduced vaccine price in conditions assuming a moderate to high herd effect.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".