Environmental Hazards in Nepal: Altitude Illness, Environmental Exposures, Injuries, and Bites in Travelers and Expatriates
Bibliographic record
Abstract
BACKGROUND: Adventure travel necessarily places travelers at risk of environmental hazards. We assessed the burden of "environmental" hazards among a cohort of travelers and expatriates presenting to a large travel clinic in Nepal. METHODS: Data on travelers and expatriates seen at the Canadian International Water and Energy Consultants (CIWEC) clinic in Kathmandu were prospectively collected and entered into the GeoSentinel Surveillance Network database. Data on individuals receiving predefined diagnoses related to environmental hazards were extracted and analyzed. RESULTS: Of 10,499 travelers and 4,854 expatriates in the database, 2,160 were diagnosed with 2,533 environment-related illnesses. Injuries were common among both travelers and expatriates [N= 788 (6.1%) and 328 (4.9%), respectively], while altitude illness was seen almost exclusively in travelers [N= 611 (4.7%) vs N= 8 (0.1%)]. Factors independently associated with environmental diagnoses include male gender (p < 0.001), traveling for tourism (p < 0.001), and lack of pre-travel advice (p= 0.043). Three percent of travelers and 2% of expatriates presenting to CIWEC sustained a bite wound or required rabies postexposure prophylaxis. Injured travelers were less likely than others to have obtained pre-travel advice (p= 0.003), while those who sustained bite wounds were more likely to have received pre-travel advice (p < 0.001). CONCLUSIONS: Environmental hazards are important causes of morbidity and potential mortality among adventure travelers and expatriates. Current pre-travel interventions are missing certain risk groups entirely and failing to have the desired educational impact in others.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".