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MATCH

Population Size

2,036

People

Years

2020 - 2020

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

Scotland

Lead time

Not applicable

Summary

2000 health care workers in NHS Tayside and from social care will have blood samples tested to detect antibodies to SARS-CoV-2, to identify undiagnosed asymptomatic healthcare worker infections with COVID-19.

Documentation

Up to 20% of cases of COVID-19 disease in some countries have been reported to be healthcare workers. The prevalence of HCW infections has not been properly documented due to lack of comprehensive studies. This information is crucial for infection control and to maintain the workforce during a pandemic. In addition, as HCWs are frequently exposed to infected patients they represent an ideal population in which to characterise immune responses to the infection. Discovering the frequency and impact of HCW infections will allow better workforce planning in the NHS as well as establishing whether a positive antibody test can allow staff to safely return to work with a low risk of infection. 2000 HCW in NHS Tayside and from social care will have blood samples tested with a validated laboratory assay to detect antibodies to SARS-CoV-2. The aims of the study are to identify undiagnosed asymptomatic healthcare worker infections with COVID-19, to understand the burden of undetected infections and to identify in patients with detectable antibodies can be reinfected with COVID-19.
Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
2,036
Associated media
https://discovery.dundee.ac.uk/en/projects/match-antibody-study

Keywords

COVID-19, Coronavirus, HCW, Covid, Serology, CO-CONNECT, VIVALDI, VIVALDI 2

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

There are 2036 participants of the MATCH study

2036

Count

29 Sep 2021

Provenance

Collection source setting
Secondary care - Outpatients
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Static
Version
3.0.0
Modified

06/09/2024

Distribution release date

29/09/2021

Citation Requirements
Professor James Chalmers, University of Dundee

Coverage

Start date

28/05/2020

End date

02/09/2020

Time lag
Not applicable
Geographic coverage
United Kingdom, Scotland, Tayside Region
Minimum age range
18
Maximum age range
100
Follow-up
Unknown

Accessibility

Language
en
Controlled vocabulary
LOCAL
Format
Database

Data Access Request

Dataset pipeline status
Not available
Access rights
https://www.dundee.ac.uk/hic/governance-service
Time to dataset access
Not applicable
Access method category
TRE/SDE
Access service description

HIC has implemented a remote-access "Safe Haven" environment to protect data confidentiality, satisfy public concerns about data loss and reassure Data Controllers about HIC’s secure management and processing of their data.

Data is not released externally to data users for analysis on their own computers but placed on a server at HIC, within a restricted, secure IT environment, where the data user is given secure remote access to carry out their analysis.

Full details are available via the following link:

https://www.dundee.ac.uk/hic/safe-haven
Jurisdiction
GB-SCT
Data Controller
University of Dundee

Dataset Types: Health and disease

Collection Sources: No collection sources listed