The Risk Prediction on Winter Respiratory Diseases and the Burden on Healthcare Systems: Pre and Since COVID-19 Pandemic (LLC_0039)

Winter respiratory diseases, such as COVID-19, flu, and respiratory infections, cause a significant number of hospital visits and deaths
each year, placing immense pressure on the NHS (National Health Service), especially during the COVID-19 pandemic. This project aims
to improve how we predict and prevent these diseases by using advanced computer models to identify who is most at risk and efficient
early actions to protect them.
The project will investigate patterns of respiratory illnesses before and since the COVID-19 pandemic to understand how risk factors,
such as age, existing health conditions, vaccination history, and environmental factors, affect hospitalisation rates. We will develop a
prediction system by artificial intelligence to monitor patients who most likely require hospital care, emergency treatment, or facing
serious health outcomes.
With the assistant of this project identifying those most at risk, healthcare providers can offer earlier interventions, such as vaccinations,
medication, and lifestyle advice, to help prevent severe illness. This research will also assist policymakers in making informed decisions
about how to allocate healthcare resources efficiently, particularly in winter when hospitals are under the most strain. In summary, this
project will help improve public health, reduce hospital admissions, and support a stronger, more resilient NHS.