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
Linked Data
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| Results & Impact |