Longitudinal Population-based Observational Study of COVID-19 in the UK Population

Conditions

COVID-19

Brief summary

COVIDENCE UK is a population-based observational longitudinal study that has the following objectives: 1. To determine risk factors for incident COVID-19 and for adverse outcomes of COVID-19 in the UK population 2. To characterise the natural history of COVID-19 in the UK population 3. To evaluate the impact of COVID-19 on the physical and mental health of the UK population 4. To provide a resource from which to identify potential participants for future clinical trials, and to use data collected in COVIDENCE as comparison or control data for trial participants who have been randomised to receive one or more interventions.

Giulia Vivaldi, Mohammad Talaei, John Blaikley, Callum Jackson, Paul E Pfeffer et al. (7 authors)

BMJ Open Respiratory Research2025-06-01

10.1136/bmjresp-2024-002506

Long-term symptom profiles after COVID-19 <i>vs</i> other acute respiratory infections: an analysis of data from the COVIDENCE UK study.

Vivaldi G, Pfeffer PE, Talaei M, Basera TJ, Shaheen SO, Martineau AR.

2023-10-0630 citations

10.1016/j.eclinm.2023.102251

Rebound in asthma exacerbations following relaxation of COVID-19 restrictions: a longitudinal population-based study (COVIDENCE UK)

Florence Tydeman, Paul Pfeffer, Giulia Vivaldi, Hayley Holt, Mohammad Talaei et al. (13 authors)

Thorax2022-11-2320 citations

10.1136/thorax-2022-219591

Effect of a test-and-treat approach to vitamin D supplementation on risk of all cause acute respiratory tract infection and covid-19: phase 3 randomised controlled trial (CORONAVIT)

David A. Jolliffe, Hayley Holt, Matthew Greenig, Mohammad Talaei, Natalia Perdek et al. (25 authors)

BMJ2022-09-07106 citations

10.1136/bmj-2022-071230

Short-term and long-term impacts of COVID-19 on economic vulnerability: a population-based longitudinal study (COVIDENCE UK)

Anne Williamson, Florence Tydeman, Alec Miners, Kate Pyper, Adrian R. Martineau

BMJ Open2022-08-0144 citations

10.1136/bmjopen-2022-065083

Risk factors for developing COVID-19: a population-based longitudinal study (COVIDENCE UK)

Hayley Holt, Mohammad Talaei, Matthew Greenig, Dominik Zenner, Jane Symons et al. (34 authors)

Thorax2021-11-3076 citations

10.1136/thoraxjnl-2021-217487

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

16 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* UK resident * Age ≥16 years

Exclusion criteria

none

Design outcomes

Primary

Measure	Time frame
Incidence of confirmed COVID-19	5 years

Secondary

Measure	Time frame
Incidence of probable or suspected COVID-19	5 years
Incidence of COVID-19 requiring hospitalisation	5 years
Incidence of COVID-19 requiring ventilatory support	5 years
Incidence of fatal COVID-19	5 years
Symptom duration per COVID-19 episode	5 years
Symptom severity per COVID-19 episode	5 years
Incidence of seroconversion to SARS-CoV-2	5 years
Incidence of recurrent COVID-19	5 years
EQ-5D-3L health-related quality of life score	5 years
Health care costs associated with incident COVID-19	5 years
Impact of the COVID-19 pandemic and the societal response on participants' financial status	5 years
Incidence of COVID-19 on participant's physical health	5 years
Impact of COVID-19 on participants' mental health	5 years
Impact of COVID-19 on physical health of offspring born to participants during follow-up	5 years

Countries

United Kingdom

Contacts

CONTACTAdrian Martineau, PhD

a.martineau@qmul.ac.uk+442078822551

CONTACTHayley Holt, MSc

h.holt@qmul.ac.uk

Outcome results