Bayesian estimation of sensitivity and specificity of serum ELISA and faecal culture for diagnosis of paratuberculosis in Greek dairy sheep and goats
Ημερομηνία
2006Λέξη-κλειδί
Επιτομή
Latent class models were used to estimate the sensitivity (Se) and the specificity (Sp) of a serum ELISA and a faecal culture (FC) method for the diagnosis of paratuberculosis separately, in sheep and goats. The estimates were obtained by a Bayesian method. Possible dependence of diagnostic errors was investigated by comparing models where independence was assumed to models allowing for conditional dependence given the true disease status. ROC analysis for the serum ELISA was also performed and optimized cut-off values based on the misclassification cost term were determined. No evidence of conditional dependence was found. Assuming independence, posterior medians and 95% credible intervals for the Se-ELISA, SPELISA, Se-FC and SPFC, were 63% (42, 93%), 95% (90, 98%), 8% (2,17%) and 98% (95, 100%) in goats and 37% (10, 80%),97% (93,99%),16% (2,48%) and 97% (95, 99%) in sheep. AUC was calculated 0.702 for sheep and 0.847 for goats. For the serum ELISA, there is need of species- and purpose-specific cut-off selection. For instance, with 20% prevalence situation and assuming equal and five-fold cost of a false negative to a false positive test result, the optimal cut-off is 0.3 and 0.05 in sheep, respectively, while it is 0.6 and 0.1 in goats, respectively. Serum ELISA performed better in goats than in sheep. Lowering the cut-off, in relation to the one recommended by the manufacturer, improved Se-ELISA without seriously compromising SPELISA, in either species. (c) 2006 Elsevier B.V. All rights reserved.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Bayesian estimation of the true prevalence of paratuberculosis in Hungarian dairy cattle herds
Ozsvari L., Lang Z., Monostori A., Kostoulas P., Fodor I. (2020)Paratuberculosis is a chronic incurable disease caused by Mycobacterium avium subsp. paratuberculosis (MAP), which leads to extensive economic losses on dairy farms, and may also pose serious public health risk to the ... -
Control of paratuberculosis: Who, why and how. A review of 48 countries
Whittington R., Donat K., Weber M.F., Kelton D., Nielsen Sø.S., Eisenberg S., Arrigoni N., Juste R., Sáez J.L., Dhand N., Santi A., Michel A., Barkema H., Kralik P., Kostoulas P., Citer L., Griffin F., Barwell R., Moreira M.A.S., Slana I., Koehler H., Singh S.V., Yoo H.S., Chávez-Gris G., Goodridge A., Ocepek M., Garrido J., Stevenson K., Collins M., Alonso B., Cirone K., Paolicchi F., Gavey L., Rahman M.T., De Marchin E., Van Praet W., Bauman C., Fecteau G., McKenna S., Salgado M., Fernández-Silva J., Dziedzinska R., Echeverría G., Seppänen J., Thibault V., Fridriksdottir V., Derakhshandeh A., Haghkhah M., Ruocco L., Kawaji S., Momotani E., Heuer C., Norton S., Cadmus S., Agdestein A., Kampen A., Szteyn J., Frössling J., Schwan E., Caldow G., Strain S., Carter M., Wells S., Munyeme M., Wolf R., Gurung R., Verdugo C., Fourichon C., Yamamoto T., Thapaliya S., Di Labio E., Ekgatat M., Gil A., Alesandre A.N., Piaggio J., Suanes A., De Waard J.H. (2019)Paratuberculosis, a chronic disease affecting ruminant livestock, is caused by Mycobacterium avium subsp paratuberculosis (MAP). It has direct and indirect economic costs, impacts animal welfare and arouses public health ... -
Application of Bayesian modeling for diagnostic assays of Mycobacterium avium subsp. paratuberculosis in sheep and goats flocks
Hemati Z., Meletis E., Derakhshandeh A., Haghkhah M., Kostoulas P., Singh S.V., Chaubey K.K., Gupta S. (2022)Background: This study aimed to screen the sera of goats and sheep from flocks suspected of Mycobacterium avium subsp. paratuberculosis (MAP) infection by a newly standardized Mce-truncated ELISA (Mt-ELISA) kit for the ...