Large pertussis outbreak in rural Canada: Lessons learned from Haida Gwaii.
Bibliographic record
Abstract
OBJECTIVE: To present characteristics of and response to a large outbreak of pertussis on Haida Gwaii, BC, in 2014. DESIGN: Quantitative descriptive review. SETTING: Haida Gwaii, a remote island archipelago located 100 km off of British Columbia's west coast. PARTICIPANTS: All patients presenting with symptoms evaluated for pertussis on Haida Gwaii between February and August 2014. MAIN OUTCOME MEASURES: The primary outcome measures included the demographic characteristics, time course, and morbidity of the outbreak. The secondary outcome measures included the laboratory result reports, the effects on clinician workload, and the treatment and prophylaxis practices. Statistical analysis for significance of pertussis severity and immunization status was performed with a maximum-likelihood framework. RESULTS: = .112). CONCLUSION: Pertussis is resurging. Physicians need to remain vigilant for its characteristic symptoms. Clear and standardized criteria for the declaration of an outbreak should be developed. To contain an outbreak, it is crucial to deploy resources commensurate with disease activity while coordinating public health and primary care. More research into why large outbreaks continue to occur, why endemic rates continue to rise, and how these can be most effectively prevented is essential.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| 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) | 0.002 | 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".