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Using Models and Web Applications for Chronic Wasting Disease Scenario Planning
Date: August 7, 2020 from 2-2:30 p.m. eastern time
Speaker: Paul Cross, Research Wildlife Biologist, U.S. Geological Survey, Northern Rocky Mountain Science Center
Microsoft Teams Link - those outside of DOI will be let in by Moderator
Summary: Researchers at the USGS are working on developing new quantitative methods to study disease dynamics in wildlife systems as well as systems at the wildlife-domestic-human interface. Much of our work focuses on how host population structure affects disease invasion, persistence and control in wildlife disease systems. A web application has been developed for natural resource managers to simulate different hunting strategies to control the growth of chronic wasting disease in deer and elk. Preliminary analyses suggest that multiple mechanisms can explain higher CWD prevalence in males compared to females and differentiating the mechanism is important for the efficacy of male-biased harvest regimes.
Chronic wasting disease (CWD) is a fatal disease of deer, elk, and moose transmitted through direct contact and via environmental contamination. This software provide tools to simulate CWD and harvest management scenarios. These models were developed by the U.S. Geological Survey (USGS) in collaboration with Montana Fish, Wildlife, and Parks.