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REal-time Assessment of Community Transmission (REACT-GE/Long COVID)

Population Size

10,786

People

Population Size statistic card

Years

2021 - 2021

Years statistic card

Associated BioSamples

DNA

Plasma

...see more

Associated BioSamples statistic card

Geographic coverage

England

Geographic coverage statistic card

Lead time

Variable

Lead time statistic card

Summary

An extension to the original REACT programme. The main aim of the study is to better understand why some people experience mild or no symptoms with COVID-19, whilst others develop more severe cases requiring hospitalisation and even intensive care. Participants attended a clinic for a health screening as well as providing blood and urine samples. ~2500 participants attended a follow-up appointment. Data linkage is available for participants.

Documentation

Clinical strand

Dataset type

, , ,

Dataset population size

10786

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

10786

10786

01 Jan 2021

Provenance

Purpose of dataset collection

Research cohort, Study

Source of data extraction

Electronic survey, LIMS

Collection source setting

Cohort, study, trial, Clinic

Image contrast

Not stated

Biological sample availability

DNA,Plasma,RNA,Serum,Whole blood,Urine

Details

Publishing frequency

Continuous

Version

1.0.0

Modified

26/08/2025

Coverage

Start date

01/01/2021

End date

30/12/2021

Time lag

Not applicable

Geographic coverage

England

Minimum age range

18

Maximum age range

100

Follow-up

Continuous

Omics

Assay
Mass-spectrometry
Platform
Other

Accessibility

Language

en

Alignment with standardised data models

LOCAL

Controlled vocabulary

LOCAL

Format

other/xlsx

Data Access Request

Dataset pipeline status

Available

Time to dataset access

Variable

Access request cost

Varies

Access method category

Varies based on project

Jurisdiction

UK

Data use limitation

Research-specific restrictions

Data use requirements

Ethics approval required,Geographical restrictions,Disclosure control,User-specific restriction

Data Controller

Imperial College London

Data Processor

Imperial College London

Dataset Types: Health and disease, Omics, Lifestyle, Measurements/Tests

Dataset Sub-types: Cardiovascular,Respiratory,Cognitive function, Proteomics,Metabolomics,Genomics,Transcriptomics


Collection Sources: Cohort, study, trial, Clinic