Cambridge University

Dr Ian Wellwood

Department:
Public Health and Primary Care, Department of

Research Interests include:
• Collaborative multidisciplinary research to optimize effectiveness, quality and implementation of rehabilitation and care, particularly for people with long term conditions and disability.
• Epidemiology and management of stroke throughout the course of the disease.
• Exercise and activity-based interventions for the treatment and prevention of disease.
• Research design and methods to investigate complex interventions in health services research.
• Investigating the contribution of patient and public engagement in clinical research.
Ongoing research
• Recently joined Prof. Christi Deaton's Clinical Nursing Research group based in the Institute of Public Health, University of Cambridge.
• Collaborative links to ongoing stroke related research in Berlin funded by the German Federal Ministry of Education and Research (BMBF) and London funded by the Department of Health (DH), National Institute for Health Research (NIHR), UK, (Research for Patient Benefit).
• Contributions to European Union funded health services research involving several European countries.
• Development of clinical guidelines related to stroke care in Scotland and Germany.

Areas of Interest
  • Ageing
  • Behaviour
  • Clinical trials
  • Cognition
  • Dementia
  • Disability
  • Equality/inequality
  • Exercise
  • General Practice
  • Health Economics
  • Health management
  • Healthcare delivery/services
  • Migration
  • Non-communicable disease
  • Palliative care
  • Quality of Care
  • Risk
  • Stroke

News and Events

Rethinking health for all: a new vision for sustainable and achievable progress
Rethinking health for all: a new vision for sustainable and achievable progress -

Good health for all the population requires economic growth and social change which are clean, green and sustainable. A new CPH policy brief outlines actions required to improve health for the whole population.

Blog

Towards scalable diagnosis of Alzheimer’s Disease using everyday navigation
Towards scalable diagnosis of Alzheimer’s Disease using everyday navigation

Spatial navigation is one of the first cognitive abilities to be affected in AD: the disease pathology appears early in the brain’s navigation centre (i.e., medial temporal lobe and parietal structures). Previous studies using Virtual Reality found that navigation features help to identify preclinical AD and can predict the clinical progression too.