![]() ![]() ![]() These risk factors can be used to identify populations at high risk who may benefit from enhanced monitoring and early interventions to prevent hospitalisation and death, hence reducing winter pressures." Other projects will investigate the impact of cold and damp homes on people’s health with the aim of informing policies to protect the most vulnerable and avoid knock-on impacts on the NHS.ĭr Venexia Walker, Research Fellow in Medical Statistics and Health Data Science at Bristol Medical School and lead of the University of Bristol study, said: "Our project will determine risk factors for hospitalisation and death from four winter infections: influenza, respiratory syncytial virus, pneumonia, and COVID-19. The projects include studies aiming to ease pressures on emergency services by using hospital data to speed up patient flow through and out of emergency departments, as well as a project using an analysis approach called 'machine learning' to predict peaks of infection with the common bug, Respiratory Syncytial Virus (RSV), that can cause serious illness in young children and put pressure on paediatric intensive care units. They apply lessons from the pandemic on how to drive rapid-response research that generate results fast and have a direct impact on health policy and clinical care. The programme will also cover a range of data-driven approaches to pin-point pressures in the health care system, understand their causes and develop ways to overcome or avoid them. Launched by Health Data Research UK (HDR UK) with funding from the National Institute for Health and Care Research (NIHR), the projects include studies on how to reduce ambulance wait times, understanding the effects of cold homes on health, and a University of Bristol-led project that will compare risk factors for hospitalisations and death from winter infections.
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