Bayesian latent class estimation of sensitivity and specificity parameters of diagnostic tests for bovine tuberculosis in chronically infected herds in Northern Ireland

Simple item page
dc.contributor.authorLahuerta-Marin, Angela
dc.contributor.authorMilne, Georgina
dc.contributor.authorMcNair, James
dc.contributor.authorSkuce, Robin
dc.contributor.authorMcBride, S.H.
dc.contributor.authorMenzies, F.D.
dc.contributor.authorMcDowell, Stanley
dc.contributor.authorByrne, A.W.
dc.contributor.authorHandel, I.G.
dc.contributor.authorBronsvoort, B.M. de C.
dc.date.accessioned2021-06-09T12:58:38Z
dc.date.available2021-06-09T12:58:38Z
dc.date.issued2018-05-01
dc.descriptionPublication history: Accepted - 26 April 2018; Published online - 1 May 2018.en_US
dc.description.abstractIn the European Union, the recommended ante-mortem diagnostic methods for bovine tuberculosis (bTB) include the single intradermal cervical comparative tuberculin (SICCT) test and the interferon-gamma (IFN- g) test as an ancillary test. The SICCT test has a moderate sensitivity (Se) and high specificity (Sp), while the IFN-g test has good Se, but a lower Sp than the SICCT test. A retrospective Bayesian latent class analysis was conducted on 71,185 cattle from 806 herds chronically infected with bTB distributed across Northern Ireland (NI) to estimate the Se and Sp of the common ante-mortem tests and meat inspection. Analyses were also performed on data stratified by farming type and herd location to explore possible differences in test performance given the heterogeneity in the population. The mean estimates in chronically infected herds were: (1) ‘standard’ SICCT: Se 40.5–57.7%, Sp 96.3–99.7%; (2) ‘severe’ SICCT: Se 49.0%–60.6%, Sp 94.4–99.4%; (3) IFN-g(bovine–avian) using a NI optical density (OD) cut-off difference of 0.05: IFN-g(B–A)NI: Se 85.8– 93.0%, Sp 75.6–96.2%; (4) IFN-g(bovine–avian) using a standard ‘commercial’ OD cut-off difference of 0.1: IFN-g(B–A)0.1: Se 83.1–92.1%, Sp 83.1–97.3%; and (5) meat inspection: Se 49.0–57.1% Se, Sp 99.1–100%. Se estimates were lower in cattle from dairy farms than from beef farms. There were no notable differences in estimates by location of herds. Certain population characteristics, such as production type, might influence the ability of bTB tests to disclose truly infected cases.en_US
dc.description.sponsorshipThis study is part of a larger project on the evaluation of the performance characteristics of the test in chronic bTB herds in NI from 2004 to 2010. It was financed by DAERA (E&I grant code 11/ 03/10).en_US
dc.identifierhttp://hdl.handle.net/20.500.12518/266
dc.identifier.citationLahuerta-Marin, A., Milne, M. G., McNair, J., Skuce, R. A., McBride, S. H., Menzies, F. D., McDowell, S. J. W., Byrne, A. W., Handel, I. G. and de C. Bronsvoort, B. M. (2018) ‘Bayesian latent class estimation of sensitivity and specificity parameters of diagnostic tests for bovine tuberculosis in chronically infected herds in Northern Ireland’, The Veterinary Journal, 238, pp. 15–21. doi: 10.1016/j.tvjl.2018.04.019.en_US
dc.identifier.issn1090-0233
dc.identifier.urihttps://doi.org/10.1016/j.tvjl.2018.04.019
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2018 The Author(s). Published by ElsevierLtd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.subjectBovine tuberculosisen_US
dc.subjectBayesian latent class analysisen_US
dc.subjectInterferon-g testen_US
dc.subjectSensitivityen_US
dc.subjectSpecificityen_US
dc.subjectSingle intradermal cervical comparativeen_US
dc.subjecttuberculin testen_US
dc.titleBayesian latent class estimation of sensitivity and specificity parameters of diagnostic tests for bovine tuberculosis in chronically infected herds in Northern Irelanden_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bayesian latent class estimation of sensitivity and specificity parameters of diagnostic tests for bovine tuberculosis in chronically infected herds in Northern Ireland.pdf
Size:
389.15 KB
Format:
Adobe Portable Document Format
Description:
Final published version
Download

Collections

Journal Articles