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Risk factors and prediction models for long COVID: analysis of longitudinal cohort studies with linked NHS data
Safe People
Organisation name
University of Plymouth
Organisation sector
Academic Institute
Applicant name(s)
Yinghui Wei
Safe Projects
Project ID
llc_0008
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.
Latest approval date
06/01/2022
Safe Data
Dataset(s) name
Covid-19 Vaccination Status
NPex (Pillar 2)
Mental Health Services Dataset
Hospital Episode Statistics Outpatient
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
Safe Setting
Access type
TRE