MétaCan
Menu
Back to cohort
Record W2181498566 · doi:10.14745/ccdr.v41i05a01

Summary of the Statement on International Travellers Who Intend to Visit Friends and Relatives

2015· article· en· W2181498566 on OpenAlexafffundvenue
Jason Brophy

Bibliographic record

VenueCanada Communicable Disease Report · 2015
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsChildren's Hospital of Eastern Ontario
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsMedicineEnvironmental healthPopulationTravel medicineDiseaseMalariaFamily medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Travellers intending to visit friends and relatives (VFRs) are a specific group of travellers who have been identified as having an increased risk of travel-related morbidity. OBJECTIVE: To provide recommendations for risk reduction in international VFRs. METHODS: Recommendations regarding VFRs were developed based on available travel medicine literature and CATMAT expert opinion. Specific travel-related risks, including infectious disease epidemiology and burden in this population, were reviewed and recommendations were provided to attempt to mitigate these risks. Previous CATMAT statements related to VFRs were referred to and reiterated. RECOMMENDATIONS: Rates of travel-related illness in VFRs tend to be higher for many conditions. Disease-specific risk factors and recommendations are discussed throughout this Statement. CATMAT recommends that VFRs' vaccinations be up-to-date and they be counselled on the importance of various risk reduction activities such as the use of malaria prophylaxis, safe sex practices and injury prevention. Pre- and/or post-travel tuberculosis testing is indicated in certain situations. CONCLUSION: The pre-travel health assessment is an important opportunity to address with VFRs issues regarding health beliefs, health behaviours, current health status and the possibility of pre-existing conditions. Discussions addressing the importance of adherence to health advice and potential challenges to achieving adherence may be necessary.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.038
GPT teacher head0.320
Teacher spread0.282 · 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

Citations13
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanada Communicable Disease ReportSame topicTravel-related health issuesFrench-language works237,207