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Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago

REal-time Assessment of Community Transmission (REACT-1)

Dataset

Documentation

Description:
REal-time Assessment of Community Transmission (REACT-1) is one of the largest population surveillance studies in the world. It started in May 2020 to measure the prevalence of SARS-CoV-2 in the general population in England. Each month around 150,000 people completed a questionnaire and returned a PCR test. The study tracked the progress of infection across England. It was commissioned by the Department of Health and Social Care and was carried out between May 2020 and March 2022 in partnership with Imperial College Healthcare NHS Trust and Ipsos MORI. The partner study, 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 is also described in the Innovation Gateway. For further information and the study questionnaires, please see the REACT study website. We present the full meta-data catalogue in the Innovation Gateway. Researchers external to Imperial College London can apply to access subsets of anonymised data from REACT participants. To access the full REACT dataset, researchers require an affiliation or collaboration with Imperial College London.

Coverage

Spatial:
United Kingdom,England
Typical Age Range:
18-100
Follow Up:
Other

Provenance

Origin

Collection Situations:
Home

Temporal

Accrual Periodicity:
Static
Start Date:
01 May 2020
End Date:
31 March 2022
Time Lag:
Not applicable

Accessibility

Access

Delivery Lead Time:
Not applicable
Jurisdictions:
GB-ENG
Data Controller:
Imperial College London & Department of Health and Social Care

Usage

Data Use Limitations:
  • Institution-specific restrictions
  • Research-specific restrictions
  • No linkage
  • Genetic studies only
Data Use Requirements:
  • Disclosure control
  • Ethics approval required
  • Project-specific restrictions
  • Institution-specific restrictions
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
General population
1500000
1500000
31 May 2022