Bookmarks
ID 285: Predict: Understanding the winter pattern of three main respiratory viruses to predict near real time health care utilisation
Safe People
Organisation name
Imperial College London (ICL)
Applicant name(s)
Funders/ Sponsors
Safe Projects
Project ID
ID 285
Lay summary
This study presents an opportunity for RWE to inform on respiratory virus disease trends, healthcare utilisation, and therefore healthcare policies.
Public benefit statement
This study presents an opportunity for RWE to inform on respiratory virus disease trends, healthcare utilisation, and therefore healthcare policies. This will in turn enable us to capably educate the public on risk factors for common respiratory viruses, risk factors for severe outcomes from respiratory virus infections and alleviate economic burdens by enabling us to better understand healthcare burden as a result of these illnesses.
Other approval committees
Latest approval date
15/12/2022
Safe Data
Dataset(s) name
Safe Setting
Access type
TRE