Professor Eva Morris
Professor of Health Data Epidemiology
Eva Morris studied Neuroscience at the University of Edinburgh (1993-1998) before undertaking a PhD in Cancer Epidemiology and Health Services Research at the University of Leeds (2001-2004). After a short period working in Public Health at the University of Newcastle, she then returned to Leeds to work with the regional cancer registry and, subsequently, the National Cancer Intelligence Network to undertake large-scale population-based studies based on linked administrative health datasets. In 2008 she was awarded a Cancer Research UK Career Development Fellowship and made a Professor of Cancer Epidemiology in 2015. She has a portfolio of research based around the use of linked datasets to investigate the management of colorectal cancer and so generate evidence that will drive improvements in care and outcome.
In 2019, Eva moved to Oxford as a Professor of Health Data Epidemiology within the Big Data Institute and the Nuffield Department of Population Health. Here she continues to work in the field of health data research with a continued interest in national cancer datasets.
Addressing the variation in adjuvant chemotherapy treatment for colorectal cancer: Can a regional intervention promote national change?
Taylor JC. et al, (2021), Int J Cancer, 148, 845 - 856
Impact of the COVID-19 pandemic on the detection and management of colorectal cancer in England: a population-based study.
Morris EJA. et al, (2021), Lancet Gastroenterol Hepatol
COVID RT - Assessing the Impact of COVID-19 on Radiotherapy in the UK. A National Cancer Research Institute Clinical and Translational Radiotherapy Research Working Group Initiative in Partnership with the Royal College of Radiologists, the Society of Radiographers and the Institute of Physics and Engineering in Medicine.
Lewis PJ. et al, (2021), Clin Oncol (R Coll Radiol), 33, e69 - e72
National variation in pulmonary metastasectomy for colorectal cancer.
Fenton HM. et al, (2020), Colorectal Dis
Improving outcome prediction in individuals with colorectal cancer and diabetes by accurate assessment of vascular complications: Implications for clinical practice.
Birch RJ. et al, (2020), Eur J Surg Oncol