Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 425 days ago
REal-time Assessment of Community Transmission (REACT-2)
Dataset
Documentation
Description:
REal-time Assessment of Community Transmission (REACT-2) started in May 2020 to determine the prevalence of and trends in antibodies levels in study participants. This study involves approximately 150,000 unique people who use a finger prick test over 6 week periods, with additional information collected on contact with known cases to assess an infection point prevalence at national, regional and local levels. Within REACT 2 there is also a study on usability and efficacy of different tests.
Imperial College London is leading a major programme of home testing for COVID-19 to track the progress of the infection across England. Called REACT, the programme was commissioned by the Department of Health and Social Care, and is being carried out in partnership with Imperial College Healthcare NHS Trust and Ipsos MORI.
REACT-2 is a world largest surveillance study undertaken in England that examines the prevalence of antibodies in the community. The study focusses on finger prick self-testing at home by individuals aged 18 or over.The findings will provide the government with a better understanding of the use of antibody tests at home as well as assess the trends in antibody levels and how they vary across different population subgroups. This will inform government policies to protect health and save lives.
Coverage
Spatial:
United Kingdom,England
Typical Age Range:
18-65
Follow Up:
Continuous
Provenance
Origin
Purposes:
Study
Sources:
Electronic survey
Collection Situations:
Home
Temporal
Accrual Periodicity:
Static
Start Date:
05 January 2020
End Date:
30 May 2021
Time Lag:
Variable
Accessibility
Access
Access Service:
Imperial College London's Certified Secure Research Environment (ICL CSRE)
Access Request Cost:
Varies
Delivery Lead Time:
Variable
Data Controller:
Imperial College London
Usage
Resource Creators:
Imperial College London
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
other/xlsx
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
947589
947589
30 April 2020