Studying Chronic respiratory disease with routinely collected data
A mixed methods study mapping illness trajectories for people with advanced cancer receiving immunotherapy treatment to identify palliative care need.
Using routinely collected data to address the challenges of rising demand for mental health services and improve access to care in Lancashire and South Cumbria.
Statistical Inference and Data Assimilation for Dynamical Models of Vector-borne Diseases.
Identifying Secondary Care Patients At Greatest Risk Of Losing Kidney Function.
Learning about early literacy acquisition through student interactions with research-based game environments.
Modelling the spread and persistence of seasonal influenza subtypes and strains to address specific public health needs.
Real-time Monitoring of Progression Towards Renal Failure in Primary Care Patients
Using routinely collected sickness absence data to explore the impact of the COVID-19 pandemic on the health and wellbeing of healthcare workers in the UK.