Mathematical Biology for Understanding Emerging Infectious Diseases at the Human-Animal-Environment Interface: a “One Health” Approach (16w5041)

Organizers

(Trent University)

David Fisman (University of Toronto)

(York University)

Description

The Banff International Research Station will host the "Mathematical Biology for Understanding Emerging Infectious Diseases at the Human-Animal-Environment Interface: a “One Health” Approach" workshop from November 20th to November 25th, 2016.





Agricultural and livestock systems have a complex relationship with human health and many infectious diseases have agricultural roots. Outbreaks in economically valuable animal populations have important social, environmental and economic costs as well as erode consumer confidence in food products. To date, the response to infectious diseases in livestock has been compartmentalized with the agricultural sector focusing on productivity and the public health sector focusing on disease management. It is apparent that successful management of infectious diseases at the human-animal-environment interface must be system-based and integrate veterinary, medical and environmental data.
This workshop will bring together methodological experts in mathematics, statistics, computational biology, and computer science with human and veterinary medicine practitioners, industry partners and government officials to begin to develop a computational framework for modeling pathogens at the human-animal-environment interface in a meaningful way.



The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).