A community outbreak of travel-acquired measles, Ontario 2009
Bibliographic record
Abstract
BACKGROUND: Canada has held elimination status for measles since 1998; however, imported cases continue to occur. OBJECTIVE: To describe the public health response to an imported measles case in the Waterloo Region of Ontario in May 2009. RESULTS: Contacts and exposures were traced, and cases were quickly investigated to identify the source. Through routine reporting mechanisms it was found that the index case had likely been exposed while on holiday in Disney World to a laboratory-confirmed measles case in a nine year old unimmunized boy from the United Kingdom (UK). Canada's National Microbiology Laboratory confirmed that the index case had the same D4 measles strain as the UK case and the strain that had been circulating in the UK. In total, one probable case and six confirmed cases were reported. The median age of confirmed cases was 14.5 years (mean age 17 years, range 6 to 39 years). Five confirmed cases (83%) were female. One confirmed case (17%) was hospitalized; no deaths were associated with the outbreak. CONCLUSION: This outbreak highlights the importance of collaboration with clinical care, the laboratory and public health at all levels of government to investigate and control a measles outbreak. Global travel and sustained local transmission may continue to pose a challenge with respect to the eradication of measles in developed countries.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".