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CCU060: Improving characterisation, prediction and intervention for COVID- and influenza-related morbidity and mortality
Safe People
Organisation name
University College London
Organisation sector
Academic Institute
Applicant name(s)
Amitava Banerjee
Sub-licence arrangements (if any)?
No
Safe Projects
Project ID
CCU060
Lay summary
This winter, COVID, influenza and their indirect effects on chronic disease care (particularly cardiovascular disease, CVD) probably represent the greatest challenges for the NHS. COVID and influenza can have direct (e.g. hospitalisation and mortality), indirect (e.g. reduced CVD procedures) and longer-term (e.g. Long Covid) health effects. This work specifically aims to quantify the impact of COVID and influenza this winter, and to understand the relative importance of direct, indirect and longer-term effects.
Public benefit statement
The outputs of this work can inform how to prioritise policy and health system responses to winter pressures to reduce hospitalisation, mortality, waiting lists and Long Covid.
Latest approval date
09/02/2023
Safe Data
Dataset(s) name
Data sensitivity level
De-Personalised
Safe Setting
Access type
TRE
Safe Outputs
Link to research outputs