Chronic Wasting Disease Surveillance Optimization Software (n x 2)

Collections
CVM Research
Author
Hanley, Brenda J.
Mitchell, Corey I.
Them, Cara E.
Walter, W. David
Walsh, Daniel P.,
Jennelle, Christopher S.
Hollingshead, Nicholas A.
Abbott, Rachel C.
Kelly, James D.
Grove, Daniel M.
Williams, David
Christensen, Sonja A.
Ahmed, Md Sohel
Booth, James G.
Guinness, Joseph
Gagne, Roderick B.
DiSalvo, Andrew R.
Fleegle, Jeannine T.
Rosenberry, Christopher S.
Miller, Landon A.
Schuler, Krysten L.
Abstract

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.

Description
The findings and conclusions in this material are those of the authors and do not necessarily represent the views of the U.S. Fish and Wildlife Service.

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.
Sponsorship
Data collection was funded in part by Arkansas’s Wildlife Restoration funds, “State Wildlife Health”; State of Florida State Game Trust Fund Deer Management Program; Georgia’s Wildlife and Sport Fish Restoration Program; Indiana Department of Natural Resources and Fish and Wildlife # F18AF00484, W38R05 White-tailed Deer Management, F20AF10029-00, Monitoring Wildlife Populations and Health W-51-R-01, F21AF02467-01, Monitoring Wildlife Populations and Health W-51-R-02; Iowa’s Fish and Wildlife Trust Fund and Iowa’s award of the U. S. Fish and Wildlife Service Wildlife and Sport Fish Restoration Program; Maryland’s award of the U. S. Fish and Wildlife Service Wildlife and Sport Fish Restoration Program, #W-61-R-29; Minnesota Department of Natural Resources; New York’s Wildlife Health Unit and New York’s award for Federal Aid Wildlife Restoration Grant #W-178-R; North Carolina’s award for Federal Aid in Wildlife Restoration; Tennessee’s award for the Wildlife Restoration Program; Wisconsin’s award for the Federal Aid in Wildlife Restoration; Multistate Conservation Grant Program # F21AP00722-01. The Michigan Disease Initiative # RC109358, Alabama Department of Conservation and Natural Resources, Florida Fish and Wildlife Conservation Commission, Tennessee Wildlife Resources Agency, and New York State Department of Environmental Conservation contributed funding to the overall project.
Date Issued
2023-09-22
Keywords
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Related DOI
Related To
Them CE, Hanley BJ, Mitchell CI, Ahmed MS, Gagne RB, & Schuler KL. 2023. Chronic wasting disease surveillance expense cap software [Software]. Cornell University Library eCommons Repository. https://doi.org/10.7298/r4jy-bp10
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.
Type
software