Data · dataset · 2025
Research Platform to Screen and Protect Individuals that Work Within a Food Production, Healthcare, Research or Clinical Organization [RESPECT, study data contributed to the CITF Databank]
Listed in Borealis
Description
Background
During lockdown, frontline workers in the food industry, healthcare and research or clinical organizations were required to work on site where they were at a risk of high exposure to SARS-CoV-2 infections from public interaction. Aims of the original study: The RESPECT COVID study aimed to 1) determine the asymptomatic transmission of COVID-19 in food production facilities during the pandemic; 2) monitor antibody development and immunity trends over time, and 3) evaluate participants' vaccine uptake and immune responses.
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Methods
Employees from various food production facilities in the Greater Toronto Area (GTA) were enrolled in this cohort study regardless of the presence or absence of COVID-19 symptoms. Blood samples were collected at multiple timepoints to understand the longitudinal trend of antibodies induced by infection and vaccination in this population and the influence on COVID-19 transmission. Summary of the contributed data: The datasets include a total of 5,020 serology samples from 718 participants between January 2020 and December 2021. 508 participants (70%) have linked baseline characteristics data (completed survey).
Variables include data in the following areas of information: demographic (age, gender, ethnicity and indigeneity, occupation), general health (symptoms, diseases, previous test, hospitalization), SARS-CoV-2 vaccination and serology.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP3%2FPXDCSW ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp3/pxdcsw ↗
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/PXDCSW | 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 |