Preparing patients to travel abroad safely. Part 2: Updating vaccinations.
Bibliographic record
Abstract
OBJECTIVE: To provide, for family physicians without access to a travel clinic, evidence-based recommendations on vaccinating infants and children, adults, pregnant women, and immunocompromised patients traveling to non-Western countries. QUALITY OF EVIDENCE: Searches were undertaken of MEDLINE from 1990 to November 1998 (372 articles); the Cochrane Collaboration Library; publications of the National Action Committee on Immunization and the Committee to Advise on Tropical Medicine and Travel in Canada Communicable Disease Reports; the Canadian Immunization Guide; and Laboratory Centre for Disease Control, United States Centres for Disease Control, and World Health Organization websites. Evidence-based statements, randomized controlled trials, systematic reviews, and meta-analyses were selected. Vaccination recommendations are based on this evidence. MAIN MESSAGE: Physicians should complete vaccination schedules for children whose primary series is incomplete and vaccinate unvaccinated adults. Hepatitis A is widespread, and travelers to areas where it is endemic should be vaccinated. The elderly should be vaccinated against influenza and pneumococcal disease. Pregnant women should receive vaccines appropriate to their trimester. Immunocompromised patients should be vaccinated, but BCG and live vaccines are contraindicated. Travelers to areas where meningitis, typhoid, cholera, Japanese encephalitis, and rabies are endemic should be vaccinated if they are likely to be exposed. Those traveling to areas where tuberculosis is endemic should take precautions and should have skin tests before traveling and 2 to 4 months after return. CONCLUSIONS: Family physicians can administer all necessary vaccinations. They can advise pregnant women and immunocompromised people about the balance of risk of disease and benefits of vaccination.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".