Researchers from Cornell University and Queen’s University in Canada have developed a new decision model that can detect emerging wildlife diseases faster and at a lower cost than current methods. The model, which was described in a collaborative study published on Sept. 15 in the Proceedings of the National Academy of Sciences, was applied in a case study involving a chronic wasting disease incursion in wild New York State white-tailed deer. The decision model detected the disease 8.4 months earlier than traditional surveillance methods. According to co-lead author Krysten Schuler, a wildlife disease ecologist and associate research professor at Cornell University's College of Veterinary Medicine, this advancement comes at a crucial time when wildlife populations face increased disease risks and budgets for managing these risks are becoming more limited.

Source: Cornell University

Source Type: College

Source Location: Ithaca

Ithaca, NY

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