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Browsing CVM Research by Subject "CWD"
Now showing items 1-5 of 5
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Habitat Risk Software
Hanley, Brenda; Mitchell, Corey I.; Walter, W. David; Kelly, James; Abbott, Rachel C.; Hollingshead, Nicholas; Miller, Lauren; Schuler, Krysten (2021-08-19)The Habitat Risk Software leverages a Bayesian Hierarchical model to analyze publicly available geospatial (raster) data and surveillance disease testing data to estimate the risk that specific locations within a wildlife ... -
Regional Wildlife Disease Hazard Software
Hanley, Brenda; Mitchell, Corey I.; Abbott, Rachel C.; Hollingshead, Nicholas; Carstensen, Michelle; Walsh, Daniel; Christensen, Sonja; Storm, Daniel; Kelly, James; Them, Cara; Ahmed, Md Sohel; Miller, Lauren; Schuler, Krysten (2022-01-12)The Regional Wildlife Disease Hazard Software displays the hazards associated with the introduction and spread of chronic wasting disease (CWD) in free ranging white-tailed deer (Odocoileus virginianus) in select states ... -
Regional Wildlife Disease Positives Software
Mitchell, Corey I.; Hanley, Brenda; Abbott, Rachel C.; Hollingshead, Nicholas; Kelly, James; Miller, Lauren; Schuler, Krysten (2022-01-12)The Regional Wildlife Disease Positives Software allows the user to track the occurrence, persistence, or spread of chronic wasting disease (CWD) in free ranging white-tailed deer (Odocoileus virginianus) in select states ... -
Wildlife Disease Hazard Software
Hanley, Brenda; Mitchell, Corey I.; Abbott, Rachel C.; Hollingshead, Nicholas; Carstensen, Michelle; Walsh, Daniel; Christensen, Sonja; Storm, Daniel; Kelly, James; Miller, Lauren; Schuler, Krysten (2022-01-12)The Wildlife Disease Hazard Software displays the hazards associated with the introduction and spread of Chronic Wasting Disease (CWD) in wild white-tailed deer (Odocoileus virginianus) in the eastern United States (US) ... -
Wildlife Disease Positives Software
Mitchell, Corey I.; Hanley, Brenda; Abbott, Rachel C.; Hollingshead, Nicholas; Kelly, James; Miller, Lauren; Schuler, Krysten (2022-01-12)The Wildlife Disease Positives Software allows the user to track the occurrence, persistence, or spread of diseases in free-ranging wildlife. The R scripts of the Wildlife Disease Positives Software are executed in sequence ...