Published June 13, 2022
| Version v2
Other
Open
DIAGNOSTIC ACCURACY OF WISCONSIN AND CALIFORNIA SCORING SYSTEMS TO DETECT BOVINE RESPIRATORY DISEASE (BRD) IN PREWEANED DAIRY CALVES UNDER SUBTROPICAL CONDITIONS
Creators
- 1. Department of Internal Medicine, School of Veterinary Medicine and Animal Science - University of Sao Paulo, 87, Prof. Dr. Orlando Marques de Paiva Avenue, Cidade Universitária, Butantã, Sao Paulo- Brazil. Zip Code 05508-270.
- 2. Department of Clinical Sciences, Faculté de Médecine Vétérinaire, Université de Montreal, Saint-Hyacinthe, QC, J2S 2M2, Canadá
- 3. Department of Surgery, School of Veterinary Medicine and Animal Science - University of Sao Paulo, 87, Prof. Dr. Orlando Marques de Paiva Avenue, Cidade Universitária, Butantã, Sao Paulo- Brazil. Zip Code 05508-270.
Description
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.
Files
Files
(449.0 kB)
Name | Size | Download all |
---|---|---|
md5:7b8203f6e25bf2bff379d0b4fe22477c
|
149.0 kB | Download |
md5:dbe8ba88573bc179a7ec2d6cff1156da
|
116.2 kB | Download |
md5:dfc29dbbec8051331316bffcd6b4ccff
|
88.6 kB | Download |
md5:e0f4b0a379b691eea947fffa153cc5b4
|
95.2 kB | Download |