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Record W4416450570 · doi:10.1093/jtm/taaf118

Chikungunya vaccination for travellers: practical guidance for clinical decision-making

2025· article· en· W4416450570 on OpenAlexaffabout
Susan L. Hills, David R. Shlim, Steven R. Schofield, Mary Wilson, Elizabeth D. Barnett, Lin H. Chen, J. Erin Staples

Bibliographic record

VenueJournal of Travel Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChikungunyaVaccinationChikungunya feverMEDLINEHealth carePublic health

Abstract

fetched live from OpenAlex

BACKGROUND: Two vaccines have been licensed to prevent chikungunya, a live attenuated vaccine (IXCHIQ) manufactured by Valneva and a virus-like particle chikungunya vaccine (VIMKUNYA) manufactured by Bavarian Nordic. One or both vaccines are now available in many countries globally, including Brazil, Canada, United Kingdom, United States and some European countries and territories. KEY FINDINGS: While the absence of a head-to-head study limits comparative inferences, the two vaccines have several different characteristics that should be considered when advising individual travellers. We outline key information on the vaccines including immunogenicity and safety data, recommendations for use in travellers and guidance for use in pregnancy and breastfeeding. CONCLUSION: Knowledge of the profiles and key features of the live attenuated and virus-like particle vaccines will enable healthcare providers to better advise travellers who are considering chikungunya 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 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)0.002
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.053
GPT teacher head0.475
Teacher spread0.422 · 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 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

Citations7
Published2025
Admission routes2
Has abstractyes

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