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Activity Number:
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201
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #306532 |
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Title:
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Evaluating Sampling Approaches for Monitoring Chronic Wasting Disease (CWD) in Deer Populations
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Author(s):
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Ling Huang*+ and Sarah M. Nusser and William R. Clark and David L. Otis
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Companies:
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Iowa State University and Iowa State University and Iowa State University and Iowa State University
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Address:
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104 Snedecor Hall, Ames, IA, 50011-1210,
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Keywords:
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wildlife populations ; disease monitoring ; sampling design
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Abstract:
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Chronic Wasting Disease (CWD) is a disease of considerable concern to wildlife scientists. Estimating the probability of detecting the presence of CWD and estimating the prevalence rate of CWD are important for conducting surveillance research. Our goal is to evaluate the properties of sample designs for monitoring CWD in deer using a realistic landscape setting and to explore the properties of estimates generated from convenience samples in relation to probability sample designs. Deer are simulated on the landscape using an algorithm that distributes deer proportional to the expected density in each habitat stratum. A model is built to predict detection probability in a year and waiting time to first detection, to evaluate properties of CWD prevalence estimates, to compare bias and precision of estimates obtained from convenience sampling designs to the probability sampling designs.
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