Webinar – Economic assessment of zoonoses surveillance in a One Health context – International Society for Disease Surveillance


Tuesday, November 17, 2015 at 12pm-1pm EST


Sara Babo Martins, DVM, MSc, PhD candidate
Sara graduated as a veterinarian from the Faculty of Veterinary Medicine of Lisbon in 2005. She worked as a research assistant at the Faculty of Veterinary Medicine and later at the Ministry of Agriculture of Portugal, as a member of the Cabinet of the Minister. Between 2008 and 2009 she completed her Master of Science in Control of Infectious Diseases of Animals at the Royal Veterinary College, University of London. From 2010 to 2012 she worked as a consultant for the World Health Organization, working mainly on influenza at the human-animal interface. As of January 2013 Sara is a PhD candidate with the Royal Veterinary College, University of London, based at SAFOSO. Her research will focus on the economic assessment of surveillance of zoonotic diseases in a One Health context.


While enhanced collaboration and sharing of surveillance information between the animal and the public health sectors is increasingly recognized as key to improved public health outcomes, evidence on the added value of an integrated approach to zoonoses surveillance is still lacking. From an economic perspective it is of interest to explore whether overall resources are used more efficiently by integrated surveillance when compared to a surveillance system with separated, sector-specific components. This webinar presents a conceptual framework that describes the links between zoonotic disease surveillance in animal populations and the wider public health disease mitigation process and how these relations impact the costs and benefits of the surveillance activities. Building upon these links, benefit streams and cost components are explored in more detail as well as tools to conduct an economic assessment in this context. Practical examples of the implementation of the conceptual framework are presented and challenges discussed.