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Wildlife Disease Hazard Software
dc.contributor.author | Hanley, Brenda | |
dc.contributor.author | Mitchell, Corey I. | |
dc.contributor.author | Abbott, Rachel C. | |
dc.contributor.author | Hollingshead, Nicholas | |
dc.contributor.author | Carstensen, Michelle | |
dc.contributor.author | Walsh, Daniel | |
dc.contributor.author | Christensen, Sonja | |
dc.contributor.author | Storm, Daniel | |
dc.contributor.author | Kelly, James | |
dc.contributor.author | Miller, Lauren | |
dc.contributor.author | Schuler, Krysten | |
dc.date.accessioned | 2022-01-13T03:42:17Z | |
dc.date.available | 2022-01-13T03:42:17Z | |
dc.date.issued | 2022-01-12 | |
dc.description | The Regional Wildlife Disease Positives Software is shared under a MIT License. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. | en_US |
dc.description.abstract | 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) and Canada (CAN). Disease hazards include any human activity that can result in the introduction of infectious prions into the environment or into live wild populations of cervids, but this software explicitly intakes data such as the presence of taxidermists, deer meat processing businesses, and captive cervid farms located amid wild deer populations (Schuler et al., in preparation). The Wildlife Disease Hazard Software further depicts areas for which local demographic parameters of the live deer population, such as fecundity, natural mortality, and harvest mortality, can influence the spread of CWD once infectious prions are introduced (Hanley et al., in preparation). Areas at high risk of novel CWD introduction and/or subsequent rapid spread of the pathogen through the live deer population are ranked using anthropogenic and demographic hazard combinations, then displayed in an interactive map. The Wildlife Disease Hazard Software includes (redacted) hazard data, (redacted) deer demographic data, and example apps for use in Alabama, Arkansas, Connecticut, Florida, Georgia, Indiana, Iowa, Kentucky, Louisiana, Maryland, Michigan, Minnesota, Mississippi, New Hampshire, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, Tennessee, Virginia, and Wisconsin, USA and Ontario, CAN, but the software is readily adaptable to depict conditions in other US states and Canadian provinces. | en_US |
dc.description.sponsorship | Financial support comes from (1) Michigan Disease Initiative – Optimizing CWD Surveillance: Regional Synthesis of Demographic, Spatial, and Transmission-Risk Factors (2019); (2) Tennessee Wildlife Resources Agency - Modeling Risk of Infection for Individually Harvested Deer & Estimating Prevalence When Sampling is Limited (2020); (3) Michigan Disease Initiative - SOP4CWD Dashboard: A Web Application for Disease Visualization and Data-Driven Decisions (2020); (4) Multistate Conservation Grant Program - Surveillance Optimization Project for Chronic Wasting Disease: Streamlining a Web Application for Disease Visualization and Data-Driven Decisions (2021). | en_US |
dc.identifier.doi | https://doi.org/10.7298/w4rn-xq85 | |
dc.identifier.uri | https://hdl.handle.net/1813/110714 | |
dc.language.iso | en_US | en_US |
dc.relation.uri | https://cwhl.vet.cornell.edu/project/sop4cwd | |
dc.subject | Chronic Wasting Disease | en_US |
dc.subject | CWD | en_US |
dc.subject | White-Tailed deer | en_US |
dc.subject | Odocoileus virginianus | en_US |
dc.title | Wildlife Disease Hazard Software | en_US |
dc.type | software | en_US |
schema.accessibilityFeature | readingOrder | en_US |
schema.accessibilityHazard | none | en_US |