Chronic Wasting Disease Surveillance Optimization Software (n x 2)
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The Chronic Wasting Disease Surveillance Optimization Software (n x 2) computes sampling recommendations for state, tribal, or provincial wildlife management agencies when the goal of the disease surveillance program is to detect chronic wasting disease (CWD) in white-tailed deer (Odocoileus virginianus). Driven by a combinatorial optimization algorithm, the Software pinpoints the number of surveillance points that should be evaluated in each county (or administrative area) to maximize the return-on-investment of sampling to the agency, while staying within the predetermined annual CWD surveillance budget. Agency representatives parameterize their Software with their total annual budget, weightings for specific management objectives, a summary of the historical sampling data, per-deer sampling costs, benefits of first and early detections, risk of spread, and benefits of an ad hoc sampling strategy. Outputs include the set of counties that should be sampled in the upcoming surveillance season. We designed the Software for use in Tennessee, US, but included directions for other states or provinces.
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This software is being 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.
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Them CE, CI Mitchell, NA Hollingshead, RC Abbott, BJ Hanley, MS Ahmed, JG Booth, CS Jennelle, FH Hodel, J Guinness, JR Ballard, AJ Riggs, CR Middaugh, M Cunningham, B Clemons, K Sayler, CH Killmaster, TM Harms, RM Ruden, J Caudell, MB Westrich, E McCallen, C Casey, LM O’Brien, JK Trudeau, K Straka, C Stewart, M Carstensen, WT McKinley, KP Hynes, A Ableman, LA Miller, M Cook, R Myers, J Shaw, MJ Tonkovich, L Nituch, JD Kelly, DM Grove, DJ Storm, & KL Schuler. 2023. Surveillance benefit components for chronic wasting disease in white-tailed deer [Dataset]. Cornell University Library eCommons Repository. https://doi.org/10.7298/7txw-2681.