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Data Access Register - full project summary

Application ID LLC_0008
Project Title Risk factors and prediction models for long COVID: analysis of longitudinal cohort studies with linked NHS data
Lead Applicant Yinghui Wei
Organisation(s) Name(s) University of Plymouth
Approval Date 06/01/2022
Application Status Approved
Lay Summary

Patients with long COVID have symptoms over a long time. Some patients do not receive a diagnosis from their doctors, and do not receive support for recovery from long COVID.

With the requested data, we will compare two sources of information on long COVID, reported by patients and by their doctors. We will identify who are more likely to miss a diagnosis by doctors. The data on patients are needed to find who are at higher risk of having long COVID.

The benefit to patients includes the improved diagnosis of long COVID. More patients will receive a diagnosis by doctors. They will have better chance to have healthcare support for recovery.

Datasets Requested

Study Data

  • National Survey of Health and Development 1946 Birth Cohort (NSHD)
  • Southall and Brent Revisited Study (SABRE)
  • English Longitudinal Study of Ageing (ELSA)
  • 1958 National Child Development Study (1958 NCDS)
  • British Cohort Study 1970 (BCS 70)
  • Millennium Cohort Study (MCS)
  • Genetic Links to Anxiety and Depression (GLAD) Study
  • Twins UK (selected only for linked data as study data not available yet)
  • Track-COVID
  • Generation Scotland
  • NIHR BioResource COPING (selected only for linked data as study data not available yet)
  • Extended Cohort for E-Health, Environment & DNA (EXCEED)
  • Understanding Society (UK Household Longitudinal Study)
  • Born in Bradford

Linked Data

  • Covid-19 Vaccination Status
  • GPES Data for Pandemic Planning and Research (COVID-19)
  • NPex (Pillar 2)
  • Mental Health Services Dataset
  • Hospital Episode Statistics Critical Care
  • Hospital Episode Statistics Admitted Patient Care
  • Hospital Episode Statistics Outpatient
  • Hospital Episode Statistics Accident and Emergency
  • Demographics
  • Covid-19 SARI-WATCH (formally CHESS)
  • COVID-19 Second Generation Surveillance System (Pillar 1 and 2)
  • Covid-19 UK Non-hospital Antibody Testing Results (Pillar 3)
  • Civil Registration – Deaths
  • Electronic Communication of Surveillance in Scotland (ECOSS)
  • Public Health Scotland / NHS Prescription Data (PIS)
  • Public Health Scotland/NHS SMR01 General / Acute Impatient and Day Care
  • Public Health Scotland / NHS Vaccination Data
Results & Impact