Application of Bayesian modeling for diagnostic assays of Mycobacterium avium subsp. paratuberculosis in sheep and goats flocks
dc.creator | Hemati Z., Meletis E., Derakhshandeh A., Haghkhah M., Kostoulas P., Singh S.V., Chaubey K.K., Gupta S. | en |
dc.date.accessioned | 2023-01-31T08:28:05Z | |
dc.date.available | 2023-01-31T08:28:05Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.1186/s12917-022-03141-7 | |
dc.identifier.issn | 17466148 | |
dc.identifier.uri | http://hdl.handle.net/11615/73947 | |
dc.description.abstract | 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 detection of antibodies against MAP. Four diagnostic applied tests were evaluated including Indigenous plate-ELISA (IP-ELISA), Mt-ELISA, fecal Polymerase Chain Reaction (f-PCR) and fecal culture (FC). Materials and methods: Assuming the absence of a gold standard, latent-class models in a Bayesian framework were used to estimate the diagnostic accuracy of the four tests for MAP. Results: Mt-ELISA had higher Sensitivity (Se) in sheep (posterior median: 0.68 (95% Probability Interval (PI): 0.43–0.95), while IP-ELISA recorded the highest Se in goats as 0.83 (95% PI, 0.61–0.97). The f-PCR Se estimate slightly differed between species [sheep 0.36 (0.19–0.58), goats 0.19 (0.08–0.35)], while the Se of FC was similar between species [sheep 0.29 (0.15–0.51), goats 0.27 (0.13–0.45)]. The specificity estimates for all tests were high, close to unity, and similar between species. Conclusion: Overall, the results showed that the Mt-ELISA method can be used for MAP detection in small ruminants’ flocks. © 2022, The Author(s). | en |
dc.language.iso | en | en |
dc.source | BMC Veterinary Research | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123089183&doi=10.1186%2fs12917-022-03141-7&partnerID=40&md5=f207932b484dd6518df84199064c1f89 | |
dc.subject | bacterium antibody | en |
dc.subject | animal experiment | en |
dc.subject | animal model | en |
dc.subject | Article | en |
dc.subject | bacterium culture | en |
dc.subject | community structure | en |
dc.subject | controlled study | en |
dc.subject | dairy cattle | en |
dc.subject | diagnostic accuracy | en |
dc.subject | diagnostic test accuracy study | en |
dc.subject | enzyme linked immunosorbent assay | en |
dc.subject | feces analysis | en |
dc.subject | goat | en |
dc.subject | immune response | en |
dc.subject | Mycobacterium avium subsp. paratuberculosis | en |
dc.subject | nonhuman | en |
dc.subject | paratuberculosis | en |
dc.subject | plate ELISA | en |
dc.subject | polyacrylamide gel electrophoresis | en |
dc.subject | polymerase chain reaction | en |
dc.subject | prevalence | en |
dc.subject | ruminant | en |
dc.subject | sheep | en |
dc.subject | animal | en |
dc.subject | Bayes theorem | en |
dc.subject | feces | en |
dc.subject | goat disease | en |
dc.subject | Mycobacterium avium subsp. paratuberculosis | en |
dc.subject | sensitivity and specificity | en |
dc.subject | sheep disease | en |
dc.subject | veterinary medicine | en |
dc.subject | Animals | en |
dc.subject | Bayes Theorem | en |
dc.subject | Enzyme-Linked Immunosorbent Assay | en |
dc.subject | Feces | en |
dc.subject | Goat Diseases | en |
dc.subject | Goats | en |
dc.subject | Mycobacterium avium subsp. paratuberculosis | en |
dc.subject | Paratuberculosis | en |
dc.subject | Sensitivity and Specificity | en |
dc.subject | Sheep | en |
dc.subject | Sheep Diseases | en |
dc.subject | BioMed Central Ltd | en |
dc.title | Application of Bayesian modeling for diagnostic assays of Mycobacterium avium subsp. paratuberculosis in sheep and goats flocks | en |
dc.type | journalArticle | en |
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