DIAGNOSTIC ACCURACY OF WISCONSIN AND CALIFORNIA SCORING SYSTEMS TO DETECT BOVINE RESPIRATORY DISEASE (BRD) IN PREWEANED DAIRY CALVES UNDER SUBTROPICAL CONDITIONS

Supplementary material - DIAGNOSTIC ACCURACY OF WISCONSIN AND CALIFORNIA SCORING SYSTEMS TO DETECT BOVINE RESPIRATORY DISEASE (BRD) IN PREWEANED DAIRY CALVES UNDER SUBTROPICAL CONDITIONS Supplementary Table 1. Distribution of calves in the 32 possible combinations according to the positive (Pos) or negative (Neg) results in the different BRD diagnosis methods Supplementary Table 2. Posterior median and 95% credible intervals based on 2 Bayesian latent class models to determine the accuracy of 5 different diagnostic tests to diagnose BRD in Holstein heifer calves, using Wiscosin cut-off sum ≥4 Supplementary Table 3. Posterior median and 95% credible intervals based on 2 Bayesian latent class models to determine the accuracy of 5 different diagnostic tests to diagnose BRD in Holstein heifer calves, using Wiscosin cut-off sum ≥5. Supplementary Figure 1. Intervals of sensitivity (Se) and specificity (Sp) for each five different tests (Ausc, TUS, Hapto, Wisconsin and California BRD Scores) to detect BRD in the two Bayesian latent class models