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Record W7116667795 · doi:10.3138/jammi-2025-0012

Experience of COVID-19 universal screening in obstetrical units in Quebec, Canada

2025· article· en· W7116667795 on OpenAlexaffvenueabout
Elisabeth McClymont, France Leduc, Isabelle Vachon, Marie-Claude Tanguay, Laurent Tordjman, Bi Lan Wo, Anne-Julie Dubé, Suzanne Taillefer, Isabelle Boucoiran

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2025
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineDéveloppement Economique LongueuilUniversité de MontréalHôpital Maisonneuve-RosemontCentre Hospitalier de l’Université de MontréalUniversity of British Columbia
Fundersnot available
KeywordsAsymptomaticScreening testTest (biology)PregnancyMedical screening

Abstract

fetched live from OpenAlex

Background: During the COVID-19 pandemic, some jurisdictions used universal screening for SARS-CoV-2 infection at obstetrical units. This study evaluated the utility of this screening strategy. Methods: We assessed the asymptomatic infection rate and test positivity rate at six obstetrical units in Quebec, Canada. Results: 32,663 parturients were admitted to the six obstetrical units, of which 77.5% were tested for SARS-CoV-2 on admission. Among all six sites, 388 parturients (1.2% [95% CI 1.07% to 1.31%]) tested positive for SARS-CoV-2. Of these, 74.2% were asymptomatic. Rates of positive asymptomatic admissions were similar across sites, ranging from 0.5% to 1.3%. Test positivity rates among parturients varied across the pandemic, ranging from 0.0% to 9.0%. Three nosocomial SARS-CoV-2 infections occurred, with two occurring at the same site. Conclusions: Non-universal strategies such as symptom-based screening and personal protective equipment may be more practical and cost effective for future respiratory pandemics.

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)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.270
Teacher spread0.261 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Association of Medical Microbiology and Infectious Disease CanadaSame topicCOVID-19 Impact on ReproductionFrench-language works237,207