Department: Pathobiology and Population Sciences

Campus: Hawkshead

Research Centres: Veterinary Epidemiology, Economics and Public Health

Imogen is a PhD student within the Veterinary Epidemiology, Economics and Public Health group working within the VetCompass™ team.  Her project is entitled Re-inventing the diagnosis and management of Canine Hyperadrenocorticism.

Imogen obtained her Bachelor of Veterinary Science from the University of Bristol in 2013. She worked in first opinion small animal practice for three years before obtaining her MSc in Veterinary Epidemiology in 2017 from the RVC and London School of Hygiene and Tropical Medicine. Imogen now works with the VetCompass team as a PhD student investigating the diagnosis and management of canine hyperadrenocorticism.

Imogen's PhD aims to develop novel methods in the diagnosis and monitoring of canine hyperadrenocorticism as well as continuing to expand on the work done by the VetCompass team. Imogen's project is funded by Dechra and is supervised by Dr Dan O'Neill, Prof David Brodbelt, Prof Stijn Niessen and Prof David Church. 

Schofield I, O'Neill DG, Brodbelt DC, Church DB, Geddes R & Niessen SJM (2019) Development and evaluation of a health-related quality-of-life tool for dogs with Cushing's syndrome Journal of Veterinary Internal Medicine 

Schofield I, Brodbelt DC, Wilson ARL, Niessen SJM, Church DB, & O'Neill DG (2019) Survival analysis of 219 dogs with hyperadrenocorticism attending primary care practice in England The Veterinary Record 

Pittaway C, Schofield I, Dobson J, Brodbelt DB & O'Neill DG (2019) Incidence and risk factors for the diagnosis of lymphoma in dogs in UK primary-care practice Journal of Small Animal Practice

Schofield I, Stevens K, Pittaway C, Dobson J, Brodbelt DB, Fecht D & O'Neill DG (2019) Geographic distribution and environmental risk factors of lymphoma in dogs under primary-care in the UK? Journal of Small Animal Practice

  • Vet Compass Project

    VetCompass is a welfare-focussed epidemiological research project that shares anonymised clinical data from veterinary practices to investigate the frequency and nature of companion animal health problems.

    Modern veterinary medicine has access to increasingly effective tools for diagnosis and treatment; yet many animals still continue to suffer from disorders that might be reduced or avoided if risks were better understood and measured. 

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