Data · dataset · 2025
Cellular Immunity and Seroprevalence of Antibodies against SARS-CoV-2: Characterisation of Three Populations of Food Workers [CISACOV, study data contributed to the CITF Databank]
Listed in Borealis
Description
Background
Food industry employees were deemed essential workers as they provided crucial services during the pandemic. They were perceived at greater risk of infection than those working remotely. Aims of the CITF-funded study: The CISACOV study aimed to measure the COVID-19 infection rates of Quebec food industry workers and hardware workers, and to identify risk factors for this infection during the first years of the pandemic.
Read the rest (4 more)
Additionally, the study aimed to evaluate the immune response to SARS-CoV-2 infection and/or vaccine from blood samples collected during the study.
Methods
This cohort enrolled participants from multiple service sectors (grocery stores, restaurants/ bars and hardware store workers) in the greater Quebec City area and Chaudière-Appalaches region. Serological testing at enrolment was used to identify previous infection, and follow-up samples were collected every 12 weeks for up to 5 visits, tracking both infection and vaccination. Summary of the contributed data: The datasets provides characteristics on 304 participants, covering demographics (age, sex, workplace region, weekly working hours), general health (BMI, smoke, other diseases, flu vaccine), exposure risk factors (household, travel history, gathering), longitudinal follow-up for COVID infections (COVID test, symptoms), SARS-CoV-2 vaccination and serology.
In addition, a total of 1,299 serology samples, one to five per participant, were collected between April 2021 and October 2022.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FWEO0U4 ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/weo0u4 ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP3%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health · Public health
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP3/WEO0U4 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4206 | mapping · borealisdata ca | vocabulary-mapper@1.0.0 | keywords['Public Health'] |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[method].local:method:longitudinal-study | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |