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Record W4405452295 · doi:10.26633/rpsp.2024.104

Molecular epidemiology of rubella during the pre- and post-elimination eras in the Americas

2024· article· en· W4405452295 on OpenAlexaff
Min‐hsin Chen, R. Suzanne Beard, Joanne Hiebert, Gloria Rey-Benito

Bibliographic record

VenueRevista Panamericana de Salud Pública · 2024
Typearticle
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsPublic Health Agency of Canada
FundersCenters for Disease Control and PreventionWorld Health Organization
KeywordsEpidemiologyRubellaVirologyMedicineEnvironmental healthInternal medicineVaccinationMeasles

Abstract

fetched live from OpenAlex

Since the last case of indigenous rubella virus (RuV) was detected in 2009 in the Region of the Americas, sporadic rubella and congenital rubella cases have been confirmed, and subsequently, a low number of associated sequences have been reported. Fifty-one sequences of wild-type RuV, representing four genotypes (1E, 1G, 1J, and 2B), were reported from five countries, with confirmed sources of exposure for 46 cases. Phylogenetic analysis revealed the diversity of these viruses, showing no associations with sustained endemic transmission from previously endemic strains. Notably, 13 sequences were associated with travel from countries where no genetic information of wild-type viruses was available. In addition to sequences from postnatal and congenital infections, 23 sequences were collected from patients with diseases associated with RuV persistent infection. These findings highlight the Region's success in maintaining rubella elimination, emphasize its valuable contribution to global RuV molecular epidemiology, and address potential challenges in progressing toward the goal of rubella eradication.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.333
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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