Study of the Epidemiology of COVID-19 in Teachers and Education Workers in Elementary and Secondary Schools in Ontario [CCS-2, study data contributed to the CITF Databank]
Bibliographic record
Abstract
Background: Many schools returned to hybrid or in-person learning in 2021 to optimize students’ education and mental health; however, the physical and mental health repercussions of this approach on education workers was not fully understood. Aims of the CITF-funded study: The CCS-2 aimed to investigate 1) the prevalence of past exposure to SARS-CoV-2 and rate of exposure during the study period; 2) the effect of vaccination on antibody levels in vaccinated participants; 3) to identify stress factors and the psychological impacts of working during a pandemic. Methods: This cohort study recruited teachers and other education workers employed by a school board in Ontario including educational assistants, principals, school office staff, custodians, librarians, and early childhood educators. Participants were recruited via social media. At enrolment, they were tested for SARS-CoV-2 antibodies and completed questionnaires about risk factors, past infections, and COVID-19 vaccination. They were followed for 14 months completing questionnaires about exposures every 10 weeks (randomly assigned weeks) and questionnaires about respiratory illnesses and COVID-19 vaccinations as needed. Dried blood spot samples were collected every 13 weeks and 30 days after each COVID vaccine dose to assess IgG antibody levels Contributed dataset contents: The datasets include 3,426 participants who completed their baseline questionnaires between February 2021 and March 2022. 80% of participants (2,752) gave one or more blood samples for SARS-CoV-2 during this period (at baseline and follow-up). A total of 9,495 samples were collected. 3,087 participants have linked COVID-19 vaccine data. Variables include data in the following areas of information: demographics (age, gender, race, occupation), general health (smoke, other diseases, influenza vaccine), exposure risk factors (household, travel history), COVID-19 vaccines, and serology.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".