Supplementary information for: "Evaluation of three commercial ELISA tests for serological detection of maedi-visna virus using Bayesian latent class analysis"

Early and accurate diagnosis is fundamental for successful surveillance and control of maedi-visna virus (MVV). Our study aimed to evaluate three commercial ELISA tests for MVV antibodies. We conducted a retrospective study using 615 samples from six flocks diagnosed with MVV in Norway in 2019. We ran all samples with the following three tests: ID Screen® MVV/CAEV Indirect kit (IDvet, Grabels, France), IDEXX MVV/CAEV p28 Ab Verification Test (IDEXX Laboratories, Maine, USA) and Elitest MVV/CAEV (Hyphen Biomed, Neuville-sur-Oise, France). Without a perfect reference test, we used Bayesian latent class analysis, including conditional dependence between tests, to estimate diagnostic accuracy and true prevalence in the flocks. The dataset contains the test results of all samples and which flock they are from. The Rscript contains the model used for the Bayesian latent class analysis.