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CCU086: A data landscape review of datasets used in the surveillance of neurological complications of COVID-19

Safe People

Organisation name

University of Liverpool

Organisation sector

3

Applicant name(s)

Stephen McKeever

Funders/ Sponsors

Safe Projects

Project ID

CCU086

Lay summary

During the COVID-19 pandemic, it became apparent that COVID-19 infection caused a range of issues within the nervous system including stroke, encephalopathy and peripheral neuropathy. We have also seen similar neurological complications in previous pandemics including Spanish flu (1918) and Swine flu (2009). The neurological complications from COVID-19 have resulted in patients developing long term health problems and disabilities that can persist long after their initial infection has resolved. In response to COVID-19, multiple datasets were created to collect data of patients with COVID-19. However, some datasets were not primarily focused on neurological outcomes and therefore collected a range of different information. Furthermore, it is unclear how common neurological complications are in COVID-19 infection. This project aims to review the strengths and limitations of these databases, covering the sources of data and the quality of data obtained. From identifying these strengths and weaknesses we aim to create a new platform to identify neurological complications which arise from future pandemics. The review also aims to identify how common neurological complications are in COVID-19 infection.

Public benefit statement

The potential impact from creating a new and intuitive platform will produce more detailed information quickly in the event of future pandemics. This will help guide further research and medical management.

Other approval committees

Project start date

03/07/2024

Project end date

03/01/2025

Latest approval date

28/09/2024

Safe Data

Dataset(s) name

Hospital Episode Statistics Admitted Patient Care

Trusted Research Environments for CVD-COVID-UK / COVID-IMPACT

Data sensitivity level

De-Personalised

Release/Access date

28/09/2024

Safe Setting

Access type

TRE

Safe Outputs

Link to research outputs