Latent class models for Echinococcus multilocularis diagnosis in foxes in Switzerland in the absence of a gold standard.

Adoption of a Bayesian latent class approach helps to overcome the absence of a perfectly accurate diagnostic test and gives a more reliable indication of the test performance and the impact of covariates on the prevalence adjusted for diagnostic uncertainty.