Model and data for the estimation of the probability of detection of chronic wasting disease in certain European countries

Scenario tree model for estimation of the probability of detection of chronic wasting disease in certain European countries, using the surveillance data 2017-2021. The function «rsu.sep.rb2st» from the R-package epiR (https://cran.r-project.org/web/packages/epiR/vignettes/epiR_surveillance.html) was used to estimate the surveillance system sensitivity (SSe) for detecting CWD Ly+ form in a cervid species for a two-stage sampling system in a country (primary sampling unit (PSU) and individuals within PSU), including a single risk factor at animal level: fit for human consumption (HSHC) (low risk) versus unfit for human consumption (HSNHC). The SSe was estimated for: all cervids except Norwegian wild reindeer, semi-domesticated reindeer,  moose, red deer, roe deer and farmed red deer.

Associated datasets are included to porudce the same results as in the EFSA's scientific opinion on monitoring of chronic wasting disease (CWD) (IV), sections 3.1.7 and Appendix C