Epidemiology, Economics and Risk Assessment

About us

EERA is a global leading veterinary epidemiology training and research group. We aim to deliver bespoke training and data-driven evidence for policy makers on human and animal health.

Field work in Cameroon

Welcome to EERA – the epidemiology, economics and risk assessment group. 

We is are based at the Roslin Institute, part of the University of Edinburgh's Royal (Dick) School of Veterinary Studies (R(D)SVS). The group has a wide range of research interests in livestock and companion animal diseases, the environmental and genetic factors associated with disease and how to improve animal and human health through data-driven evidence for policy. 

The group is a multidisciplinary team including veterinarians, statisticians, clinicians, geographers, ecologists, molecular biologists, geneticists, data scientists and mathematical modellers. We pride ourselves in being able to develop and support data pipelines from the conception stage, to field studies, data management and analysis all the way to policy briefs and impact monitoring.

We answer questions as simple as ‘Is the population diseased?’  to as complex problems as long time-scale exotic disease import risk predictions.

Our ethos

  • To generate high quality datasets to answer applied research questions
  • To make datasets open and available where possible for others
  • To develop and support education and training courses from undergraduate to postdoctoral level
  • To use data driven evidence to improve the livelihoods of animal keepers and the health and welfare of their animals

What we do

Research themes

  • Infectious diseases of livestock in Africa
  • Understanding zoonotic diseases at the human livestock wildlife interface
  • Design and implementation of animal disease surveillance
  • Wildlife disease epidemiology at the livestock interface
  • Drivers of antimicrobial resistance (AMR) at the animal human interface
  • Statistical and mathematic modelling approaches in veterinary epidemiology
  • Application of machine learning to improve veterinary decision making
  • Animal health economics for vaccination and control strategies