UK LLC COVID-19: Risk factors and prediction models for long COVID: analysis of longitudinal cohort studies with linked NHS data
Study code
DAA112
Lead researcher
Yinghui Wei
Study type
Data only
Institution or company
University of Plymouth
Researcher type
Academic
Speciality area
Infection, Public Health and Prevention, COVID
Summary
[The NIHR BioResource contributes to a major national study of the long-term impacts of COVID-19, through the UK Longitudinal Linkage Collaboration.]
Patients with long COVID have symptoms over a long time. Some patients do not receive a diagnosis by 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 include the improved diagnosis of long COVID. More patients will receive a diagnosis by doctors. They will have a better chance to have healthcare support for recovery.