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Record W2180940449

Preparing your patients to travel abroad safely. Part 3: Reducing the risk of malaria and dengue fever.

2000· article· en· W2180940449 on OpenAlexaffabout
Roger E. Thomas

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMefloquineMalariaDengue feverMedicineRandomized controlled trialMalaria prophylaxisMEDLINESystematic reviewTravel medicineMalaria preventionFamily medicineMedical adviceEnvironmental healthMedical emergencyChloroquinePsychiatrySurgeryImmunologyHealth servicesPopulation
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide evidence-based recommendations for family physicians advising travelers on how to reduce their risk of malaria and dengue fever. QUALITY OF EVIDENCE: A search of MEDLINE from 1990 to November 1998 found 671 articles; randomized controlled trials and systematic reviews were sought. The Cochrane Collaboration was searched for studies relevant to family physicians; meta-analyses of impregnating bed nets with permethrin were found. Health Canada's evidence-based publications were searched; 10 recommendations based on at least one well-conducted randomized trial were found. MAIN MESSAGE: Good evidence-based advice about the efficacy of mefloquine in chloroquine-resistant areas and for pregnant women and children is available, as is advice on the effectiveness of permethrin-impregnated bed nets. CONCLUSIONS: Family physicians can use evidence-based recommendations to advise their patients on how to prevent malaria. The ways in which patients neglect malaria precautions are well-known. For prevention of both malaria and dengue fever, family physicians should counsel their patients to reduce the risk of being bitten by insects.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.271
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2000
Admission routes2
Has abstractyes

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