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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 ID

grid.11201.33

Applicant name(s)

Yinghui Wei

Safe Projects

Project ID

DAA112_llc_0008

Lay summary

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.

Request category type

Research

Other approval committees

NIHR BioResource Data Access Committee

Latest approval date

23/11/2021

Safe Data

Dataset(s) name
Data sensitivity level

De-Personalised

Legal basis for provision of data under Article 6

(e) processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;

Lawful conditions for provision of data under Article 9

(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.

Common Law Duty of Confidentiality

The individual to whom the information relates has consented

National data opt-out applied?

No

Request frequency

One-off

Safe Setting

Access type

TRE