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Research Theme

IORD Project

Aggregate analysis of Oxford University Hospitals staff Covid-19 testing data

COMPLETED
IORD category: COVID-19
Chief Investigator: Dr David Eyre
Sponsor: OUH
Research location: Oxford University
Approval date: 24 Jun 2020

Oxford University Hospitals (OUH) has conducted a large staff testing programme for Covid-19. Staff were tested using a combination of antibody and PCR tests looking for previous and current infection with the virus that causes Covid-19 (SARS-CoV-2). These results were stored in the electronic healthcare records of each staff member.

Staff provided details of potential risk factors for Covid-19 which were stored in an infection prevention and control database.

We propose to analyse the results of diagnostic tests from staff together with information provided by staff to infection control to look for risk factors for Covid-19. This study aims to work out ways to better protect staff in future.

See publications:
SARS-CoV-2 antibody responses post-vaccination in UK healthcare workers with pre-existing medical conditions: a cohort study
Antibody status and incidence of SARS-CoV-2 infection in health care workers
An observational cohort study on the incidence of SARS-CoV-2 infection and B.1.1.7 variant infection in healthcare workers by antibody and vaccination status
The duration, dynamics and determinants of SARS-CoV-2 antibody responses in individual healthcare workers
Stringent thresholds in SARS-CoV-2 IgG assays lead to under-detection of mild infections
Home-based SARS-CoV-2 lateral flow antigen testing in hospital workers
Differential occupational risks to healthcare workers from SARS-CoV-2 observed during a prospective observational study
Use of lateral flow devices allows rapid triage of patients with SARS-CoV-2 on admission to hospital
Quantitative SARS-CoV-2 anti-spike responses to Pfizer-BioNTech and Oxford-AstraZeneca vaccines by previous infection status

 

 

 

Modernising Medical Microbiology icon

Modernising Medical Microbiology and Big Infection Diagnostics

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