Infection rate and Immune Response to SARS-CoV-2 in Canadian Retail Workers -Cohort Description
Bibliographic record
Abstract
ABSTRACT Retail workers are an understudied occupational group that may have been at increased risk of contracting SARS-CoV-2 during the COVID-19 pandemic. To explore this question, we set up a longitudinal cohort of participants working in this sector to document the rate of SARS-CoV-2 infection and the immune response to infection and/or vaccination. A total of 304 participants were recruited between April 20 th , 2021 and October 22 nd , 2021. They were invited to attend three visits (each separated by ∼12 weeks) during which they provided blood samples. Information was collected on participant characteristics, SARS-CoV-2 detection tests done, COVID-19 symptoms, and vaccination. An extension phase of two additional visits was carried out between March 15 th , 2022 and October 3 rd , 2022 to document the impact of the Omicron variant among the 198 participants who were still eligible for recruitment. Participants were aged 18 to 75 and worked in grocery stores, hardware stores, bars or restaurants within the Québec City metropolitan area (Canada). Findings to date: This article describes participants’ demographic, socioeconomic, behavioral, occupational and clinical characteristics, and their COVID-19 symptoms (when applicable), as well as SARS-CoV-2 vaccination status and any SARS-CoV-2 positive diagnostic test (i.e., PCR or rapid antigen) from the beginning of the pandemic until the last visit. The goals of this study were: to assess the rate of SARS-CoV-2 infection, and the immune response (innate and acquired) to SARS-CoV-2 infection or vaccination using a variety of techniques. The humoral immune response was measured by reference and experimental enzyme-linked immunosorbent assays, as well as microneutralization assays with live viruses and experimental pseudoneutralization with an angiotensin-converting enzyme 2-spike assay. Cellular immune response was evaluated by using the viral analog R848 to activate peripheral blood mononuclear cells and neutrophils.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".