Data from: A method that accounts for differential detectability in mixed samples of long-term infections with applications to the case of Chronic Wasting Disease in cervids

Hildegunn Viljugrein, Petter Hopp, Sylvie L. Benestad, Erlend B. Nilsen, Jørn Våge, Saraya Tavornpanich, Christer M. Rolandsen, Olav Strand & Atle Mysterud
1. Surveillance of wildlife diseases is logistically difficult, and imperfect detection is a recurrent challenge for disease estimation. Using citizen science can increase sample sizes, but it is associated with a cost in terms of the anatomical type and quality of the sample. Additionally, biological tissue samples from remote areas lose quality due to autolysis. These challenges are faced in the case of emerging Chronic Wasting Disease (CWD) in cervids. 2. Here, we develop a...
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