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Covid-19 Longitudinal Health &Amp; Wellbeing National Core Study

COVID-19 Longitudinal Health & Wellbeing National Core Study

Description

The aim of the COVID-19 Longitudinal Health & Wellbeing National Core Study is to quantify the health and social impacts of the pandemic understand underlying mechanisms and identify at risk groups. To achieve this we have established a consortium of UK population representative longitudinal studies spanning the full age range. These data will be analysed in conjunction with key population datasets to look at the following core questions:

  1. What are the mental health consequences of C-19 infection, and of viral suppression measures? How do these differ by key demographics, socioeconomic status and by prior mental health status?
  2. What are the risks, determinants and expressions of the physical health consequences of long-Covid?
  3. What are the disruptions to health care services (primary and secondary), and what are the health consequences of these disruptions? How do they vary by geography, demographics and socioeconomic status?
  4. What are the risks of re-infection?
  5. How do measures of historical health & physiology impact risk of C-19 infection and its consequences?
  6. How do we best identify cases in population studies, triangulating symptoms, antigen and antibody testing? How do antibody profiles differ by case status (e.g. those with and without symptoms), how do antibody profiles vary over time? What are the health determinants of such variability?
  7. What are the long term socioeconomic consequences of viral suppression measures? How do these in turn impact on health and on health care utilisation?

Datasets & BioSamples (8)

Avon Longitudinal Study of Parents and Children
Dataset population size: Unknown
Health and disease
Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II)
Dataset population size: Unknown
Health and disease
Extended Cohort for E-health, Environment and DNA (EXCEED)
Dataset population size: Unknown
Health and disease
Millennium Cohort Study Dataset (MCSD)
Dataset population size: Unknown
Health and disease
Generation Scotland: Scottish Family Health Study
Dataset population size: 24,000
Health and disease
ISARIC4C COVID-19 Clinical Information Network (CO-CIN)
Dataset population size: 270,230
Health and disease

Publications (45)

Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App
Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, Pujol JC, Klaser K, Antonelli M, Canas LS, Molteni E, Modat M, Cardoso MJ, May A, Ganesh S, Davies R, Nguyen LH, Drew DA, Astley CM, Joshi AD, Merino J, Tsereteli N, Fall T, Gomez MF, Duncan EL, Menni C, Williams FM, Franks PW, Chan AT, Wolf J, Ourselin S, Spector T, Steves CJ.
2020
Mental health during the COVID-19 pandemic in two longitudinal UK population cohorts
Kwong ASF, Pearson RM, Adams MJ, Northstone K, Tilling K, Smith D, Fawns-Ritchie C, Bould H, Warne N, Zammit S, Gunnell D, Moran P, Micali N, Reichenberg A, Hickman M, Rai D, Haworth S, Campbell A, Altschul D, Flaig R, McIntosh AM, Lawlor DA, Porteous D, Timpson NJ.
2020
The impact of asthma on mental health & wellbeing during COVID-19 lockdown
Higbee DH, Nava G, Kwong ASF, Dodd JW, Granell R.
2020
Longitudinal evidence for persistent anxiety in young adults through COVID-19 restrictions
Kwong ASF, Pearson RM, Smith D, Northstone K, Lawlor DA, Timpson NJ.
2020
Predictors of COVID-19 vaccine hesitancy in the UK household longitudinal study.
Robertson E, Reeve KS, Niedzwiedz CL, Moore J, Blake M, Green M, Katikireddi SV, Benzeval MJ.
2021