Description and Burden of Travel‐Related Cases Caused by Enteropathogens Reported in a Canadian Community
Bibliographic record
Abstract
BACKGROUND: Risk of infections by enteropathogens among individuals traveling outside their country of residence is considered important. Such travel-related cases (TRC) have been poorly estimated and described in Canada. METHODS: Data from an enhanced, passive surveillance system of diseases caused by enteropathogens within a Canadian community from June 2005 to May 2009 were used to describe TRC in terms of disease (pathogen, symptoms, hospitalization, duration, and timing of sickness relative to return); demographics (age and gender); and travel (destination, length, and accommodation); and to compare them with non-TRC. RESULTS: Among 1,773 reported cases, 446 (25%) were classified as TRC with 9% of them being new immigrants. The main TRC diseases were campylobacteriosis, salmonellosis, and giardiasis. Disease onset occurred before return in 42% of TRC. Main destinations were Latin America/Caribbean and Asia. No differences by month and year were observed for onset, departure, and return dates. In addition to new immigrants, three subgroups of TRC based on travel destination, length of travel, type of accommodation, and age were identified and some diseases were more frequently observed in these subgroups. Generally, TRC did not differ from domestic cases in terms of age, gender, symptoms, hospitalization, and disease duration. Campylobacter coli and Salmonella enteritidis were significantly more frequent among TRC. CONCLUSIONS: TRC of diseases caused by enteropathogens that are reportable in Canada represent a significant proportion of the burden of the total diseases. Subgroups of TRC exist and are associated with certain diseases. These results help inform the assessment of the actual risk related to travel for each subgroup of travelers and quantify the attribution of traveling abroad to the overall burden of these gastrointestinal diseases.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 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".