Experience of COVID-19 universal screening in obstetrical units in Quebec, Canada
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".