Acute Diarrhea in North American Students after Relocation to Israel: A Pilot Study.
Bibliographic record
Abstract
BACKGROUND: Travelers' diarrhea (TD) is frequently encountered in people traveling from high-income to low-income countries; however, its epidemiology in those traveling between high-income countries is not known. OBJECTIVES: To evaluate the incidence of diarrhea in North American students relocating to Israel. METHODS: A retrospective cohort study involving medical students from the United States and Canada relocating to Israel was conducted. Students who relocated to Israel during 2010-2016 were contacted by email to participate in an anonymous survey. Data included demographic information as well as occurrence, timing, duration, and outcome of diarrhea after relocation. RESULTS: Ninety-seven students participated in the survey. Most (93.7%) students relocated from the United States or Canada. The period-prevalence of diarrhea was 69.1%. The incidence of diarrhea declined from 34.8 cases per 100 student-months during the first month after relocation to 1.3 cases per 100 student-months after 1 year. The duration of diarrhea was up to 1 week in 72.7%. Students who reported diarrhea were younger than students who did not (mean age 24.0 ± 2.2 and 28.4 ± 1.8 years, respectively, P < 0.001). No other demographic parameter was significantly associated with a higher likelihood of diarrhea. CONCLUSIONS: A high proportion of North American medical students relocating to Israel reported diarrhea with clinical and epidemiological features similar to classic TD. Further studies are needed to elucidate the causative agents of TD in Israel.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".