A Bayesian evaluation of six diagnostic tests for foot-and-mouth disease for vaccinated and non-vaccinated cattle

作者: Bas Engel , Willem Buist , Karin Orsel , Aldo Dekker , Kris de Clercq

DOI: 10.1016/J.PREVETMED.2008.03.009

关键词:

摘要: The sensitivity and specificity of six ELISA tests for foot-and-mouth disease (FMD) to discriminate between sero-converted (for non-structural FMD virus proteins) non-sero-converted cattle were evaluated vaccinated unvaccinated cattle. Since none the could be considered as a proper reference test about half tested sera true status (sero-converted or not proteins, i.e. presence antibodies) animals was unknown, Bayesian analysis employing latent class model used that did rely on use gold standard. Prior information prevalence subsets data incorporated into analysis. non-vaccinated ranged from 96 99%. For cattle, one stood out with an estimated 94% (95% CI 89.8 98.1%). Second best two sensitivities 85% 78.9 89.7%) 92% 86.2 95.6%). these three around 97%. remaining showed lower ranging 57 79%.

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