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Record W4229332273 · doi:10.1093/infdis/jiac192

Waning Immunity Against Respiratory Syncytial Virus During the Coronavirus Disease 2019 Pandemic

2022· article· en· W4229332273 on OpenAlexafffundabout
Frederic Reicherz, Rui Xu, Bahaa Abu-Raya, Abdelilah Majdoubi, Christina Michalski, Liam Golding, Aleksandra Stojic, Marina Vineta, Madison Granoski, Zenon Cieslak, Anil Chacko, Neil Desai, Inna Sekirov, David Marchant, Pascal M. Lavoie

Bibliographic record

VenueThe Journal of Infectious Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsBC Centre for Disease ControlUniversity of British ColumbiaSurrey Memorial HospitalRoyal Columbian HospitalUniversity of AlbertaBC Children's Hospital
FundersNational Institute of Allergy and Infectious DiseasesGovernment of CanadaNational Institutes of HealthVaccine Research CenterDeutsche ForschungsgemeinschaftNationwide Children's Hospital
KeywordsImmunityPandemicVirusVirologyAntibodyMedicineCoronavirusRespiratory systemImmunologyDiseaseCoronavirus disease 2019 (COVID-19)Immune systemInfectious disease (medical specialty)Internal medicine

Abstract

fetched live from OpenAlex

Health jurisdictions have seen a near-disappearance of respiratory syncytial virus (RSV) during the first year of the coronavirus disease 2019 (COVID-19) pandemic. Over this corresponding period, we report a reduction in RSV antibody levels and live virus neutralization in sera from women of childbearing age and infants between May to June 2020 and February to June 2021, in British Columbia (BC), Canada. This supports that antibody immunity against RSV is relatively short-lived and that maintaining optimal antibody levels in infants requires repeated maternal viral exposure. Waning immunity may explain the interseasonal resurgence of RSV cases observed in BC and other countries.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.043
GPT teacher head0.352
Teacher spread0.309 · 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

Citations130
Published2022
Admission routes3
Has abstractyes

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