Bibliographic record
Abstract
BACKGROUND: Several outbreaks caused by virulent strains of serogroup C Neisseria meningitidis were observed in several Canadian provinces in the early 1990s. In an attempt to control these outbreaks, local immunization programs, with polysaccharide vaccines, directed at school age children and adolescents were initiated. In Quebec, however, the incidence of serogroup C meningococcal disease remained high among unvaccinated groups, and clusters appeared in previously unaffected areas. As a result, a 1-dose immunization campaign was initiated, targeting all 1.9 million people between 6 months and 20 years of age for vaccination with the polysaccharide vaccine. This campaign was effective in controlling the epidemic, but there was no evidence of vaccine effectiveness among children <2 years of age and protection was short-lived among older individuals. A second series of serogroup C meningococcal disease outbreaks were observed in several Canadian provinces from 1999 to 2001, and a mass immunization campaign with glycoconjugate vaccines against serogroup C meningococcal disease was implemented in the autumn of 2001. METHODS: Evaluation of the effects of the glycoconjugate vaccination campaign was made with data on confirmed cases of serogroup C disease reported to the regional health authorities between January 1, 2001, and December 31, 2002. A cost effectiveness analysis of different glycoconjugate vaccine immunization strategies was also performed. CONCLUSIONS: The 1999-2001 glycoconjugate vaccine mass immunization campaign was effective in reducing disease incidence among vaccinated and unvaccinated individuals. Results of the cost effectiveness study indicated that the most effective long term control strategy was a routine, 3-dose, infant vaccination program but the most cost-effective strategy was a routine 1-dose vaccination program in the setting of an acute outbreak.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".