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Record W4307055439 · doi:10.1093/pch/pxac100.058

59 Understanding asymptomatic testing uptake amongst school aged children and staff for SARS-CoV-2 testing in elementary and secondary schools

2022· article· en· W4307055439 on OpenAlexaffabout
Analyssa Cardenas, Cindy Bruce-Barrett, Aaron Campigotto, Blossom Dharmaraj, Christine McGovern, Michelle Science, Julia Orkin

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 detection and testing
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineAsymptomaticFamily medicineTest (biology)Public healthNursingSurgery

Abstract

fetched live from OpenAlex

Abstract Background Enhanced health and safety measures, such as symptom screening, physical distancing, cohorting, masking, and asymptomatic testing for children have been introduced into schools to prevent SARS-CoV-2 transmission. Although asymptomatic testing has been considered a measure to reduce in-school transmission, it has not been broadly implemented or evaluated. To address this, a pilot project with public health, school boards, and hospital-based testing partners was established to assess the feasibility of offering on-site and low barrier SARS-CoV-2 polymerase chain reaction (PCR) testing across schools in the Toronto region. Objectives The primary objective of this study was to assess the feasibility of offering on-site and low barrier PCR asymptomatic testing across schools in the Toronto region. Design/Methods A six-week testing pilot across the Greater Toronto Area took place. Schools were selected to participate in expanded testing to determine case prevalence in high-risk settings of school-based SARS-CoV-2. Students and staff were excluded if they had tested positive for COVID-19 in the last 3 months. Different testing opportunities were offered based on the testing partner and school preference including location and modality. Descriptive methods were used to assess the uptake of testing and case positivity by individuals recommended to be tested. Results Eighteen schools participated in the pilot testing. All students and staff were invited to participate in asymptomatic testing. Testing was offered to 9282 students and 1000 staff, and testing uptake was 29% (2729 students) and 54% (544 staff), respectively. Forty-eight percent of tests (1645) were oral nasal tests, 18% (622) were NP swab tests and 33% (1120) were saliva tests. Of the saliva tests, 52% (590) were on-site saliva tests and 48% (530) were take-home saliva kits. The staff and student positivity rate for on-site testing was 1.9% and 4.9% for tests completed at the COVID-19 Assessment Center at SickKids. Conclusion Results from this pilot project demonstrate that on-site PCR testing uptake remained low despite offering in-school testing, specialized support, and reduced barriers by using non-invasive testing with the use of saliva/oral nasal/PCR testing kits. Results highlight the challenges of asymptomatic testing and the balance of resource utilization for low case counts. Future studies should examine alternate means of symptomatic testing.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.317
Threshold uncertainty score0.631

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.305
Teacher spread0.250 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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