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Record W4408073164 · doi:10.1016/j.jiph.2025.102728

Genetically distinct Hajj and South American-related strains of serogroup W Neisseria meningitidis causing invasive meningococcal disease in Ontario, Canada, January 1, 2015 to June 30, 2024

2025· article· en· W4408073164 on OpenAlexaffabout
Courtney Meilleur, Julianne V. Kus, Christine Navarro, Vinita Dubey, Jay Lucidarme, Ray Borrow, RSW Tsang

Bibliographic record

VenueJournal of Infection and Public Health · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsPublic Health OntarioPublic Health Agency of Canada
Fundersnot available
KeywordsNeisseria meningitidisMeningococcal diseaseNeisseriaceaeMicrobiologyVirologyMedicineSerotypeBiologyBacteriaAntibioticsGenetics

Abstract

fetched live from OpenAlex

OBJECTIVES: To characterize the recent trends in serogroup W isolates from invasive meningococcal disease (IMD) cases (MenW) in Ontario, Canada since 2015. METHODS: IMD case isolates in Ontario between January 1, 2015 and June 30, 2024 were examined by phenotypic and genetic methods for possession of vaccine antigen genes and clonal characteristics. MenW ST-11 clonal complex (CC) strains were compared against global MenW isolates by core-genome multi-locus sequence typing (cgMLST). RESULTS: The percentage of culture-confirmed IMD caused by MenW in Ontario increased from 10 % in 2015-40.9 % in the first half of 2024, consisting entirely of strains belonging to the ST-11 CC. cgMLST comparison of the Ontario invasive MenW isolates versus international MenW ST-11CC strains showed that the Ontario isolates were related to those found globally, with a recent cluster of eight cases from one city due to a strain highly related to international Umrah outbreak strains. Most MenW IMD cases (60 %) occurred in individuals older than 40 years of age and the majority (83.3 %) predicted to express antigens covered by the 4CMenB vaccine. CONCLUSIONS: Multiple different introductions of international MenW strains likely accounted for the recent shift towards invasive MenW disease in Ontario.

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 score0.221
Threshold uncertainty score0.589

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 head0.015
GPT teacher head0.273
Teacher spread0.257 · 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

Citations5
Published2025
Admission routes2
Has abstractyes

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