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Record W1927872645

From Livingstone to ecotourism. What's new in travel medicine?

2000· article· en· W1927872645 on OpenAlexaffabout
Stan Houston

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTravel medicineMedicineMalariaMEDLINEMalaria prophylaxisAlternative medicineFamily medicinePolitical sciencePathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review recent developments in the field of travel medicine and to outline the knowledge and resources family physicians need for providing health advice to travelers headed for tropical or developing countries. QUALITY OF EVIDENCE: Personal files; references from review articles and from a recent textbook of travel medicine; current guidelines on pretravel advice; and a review of the 1996 to 1999 MEDLINE database using "travel medicine" as a term and subject heading, "trave(l)lers' diarrhea" as a text word and subject heading, "immunization + travel," and "malaria + chemo prevention" were used as information sources. Priority was given to randomized controlled trials and recommendations of expert or national bodies. MAIN MESSAGE: Some elements of travel medicine, such as malaria chemoprophylaxis, have become more complex. Some valuable new preventive measures, such as hepatitis A vaccine, treated bed nets, and antimalarial drugs, have become available. Some health risks, such as cholera, have been overemphasized in the past, whereas others, such as tuberculosis and sexually transmitted diseases, have been underemphasized. Information sources relevant for providing travel health advice have improved and expanded. Canadian evidence-based guidelines addressing most important travel health issues are now available. CONCLUSIONS: Travel medicine is a rapidly evolving field. Physicians intending to provide health advice to travelers to high-risk parts of the world should be well prepared and have access to good, up-to-date information.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.032
GPT teacher head0.284
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations56
Published2000
Admission routes2
Has abstractyes

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