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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

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