Surveillance Optimization Project for Chronic Wasting Disease dataset for Virginia, US, 2001- 2021
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Abstract
This dataset contains four files containing data from the Virginia Department of Wildlife Resources shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance Optimization Project for Chronic Wasting Disease (SOP4CWD). Professionals at the source facility have provided written permission for professionals at the CWHL to post this open data to this persistent eCommons repository.
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2024
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chronic wasting disease; SOP4CWD; surveillance; white-tailed deer; wildlife health
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Hanley B, C Them, RC Abbott, N Hollingshead, CI Mitchell, N Thompson, S Christensen, R Gagne, J Guinness, J Booth, M Ahmed, D Walsh, WD Walter, C Gonzalez-Crespo, JP Gomez Vazquez, B Martinez-Lopez, C Jennelle, F Hodel, J Ballard, C Middaugh, M Cunningham, B Clemons, K Sayler, T Harms, R Ruden, J Caudell, K Benavidez Westrich, E McCallen, C Casey, L O’Brien, J Trudeau, K Straka, C Stewart, M Carstensen, W McKinley, K Hynes, A Stevens, L Miller, M Cook, R Myers, M Tonkovich, L Nituch, A DiSalvo, J Fleegle, C Rosenberry, J Kelly, D Grove, M Kirchgessner, D Storm, JR Mason, & K Schuler. A data science approach to predicting emergence and spread of chronic wasting disease in white-tailed deer in eastern North America using Surveillance Optimization Project for Chronic Wasting Disease data. In preparation.
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Government Document
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Attribution 4.0 International
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dataset
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