Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models

The aim of the present study was to calculate the sensitivity (Se) and specificity (Sp) of the single cervical tuberculin test (SCT), rapid lateral flow test (RLFT), and real-time polymerase chain reaction (RT-PCR) for the diagnosis of <i>Mycobacterium bovis</i> (<i>M. bovis</i&...

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Autores principales:	Ibrahim Elsohaby, Jawher I. Alahadeb, Yasser S. Mahmmod, Marshal M. Mweu, Heba A. Ahmed, Mohamed M. El-Diasty, Attia A. Elgedawy, Eman Mahrous, Fatma I. El Hofy
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	<i>Mycobacterium bovis</i> test accuracy dairy cows Bayesian modelling real-time PCR rapid lateral flow Veterinary medicine SF600-1100
Acceso en línea:	https://doaj.org/article/b9d8e7d598394259a78471fa992ddefd
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spelling	oai:doaj.org-article:b9d8e7d598394259a78471fa992ddefd2021-11-25T19:11:51ZBayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models10.3390/vetsci81102462306-7381https://doaj.org/article/b9d8e7d598394259a78471fa992ddefd2021-10-01T00:00:00Zhttps://www.mdpi.com/2306-7381/8/11/246https://doaj.org/toc/2306-7381The aim of the present study was to calculate the sensitivity (Se) and specificity (Sp) of the single cervical tuberculin test (SCT), rapid lateral flow test (RLFT), and real-time polymerase chain reaction (RT-PCR) for the diagnosis of <i>Mycobacterium bovis</i> (<i>M. bovis</i>) infection in Egyptian dairy cattle herds within a Bayesian framework. The true <i>M. bovis</i> infection within-herd prevalence was assessed as a secondary objective. Data on the test results of SCT, RLFT, and RT-PCR for the detection of <i>M. bovis</i> were available from 245 cows in eleven herds in six major governorates in Egypt. A Bayesian latent class model was built for the estimation of the characteristics of the three tests. Our findings showed that Se of SCT (0.93 (95% Posterior credible interval (PCI): 0.89–0.93)) was higher than that of RT-PCR (0.83 (95% PCI: 0.28–0.93)) but was similar to the Se of RLFT (0.93 (95% PCI: 0.31–0.99)). On the contrary, SCT showed the lowest Sp estimate (0.60 (95% PCI: 0.59–0.65)), whereas Sp estimates of RT-PCR (0.99 (95% PCI: 0.95–1.00)) and RLFT (0.99 (95% PCI: 0.95–1.00)) were comparable. The true prevalence of <i>M. bovis</i> ranged between 0.07 and 0.71. In conclusion, overall, RT-PCR and RLFT registered superior performance to SCT, making them good candidates for routine use in the Egyptian bovine tuberculosis control program.Ibrahim ElsohabyJawher I. AlahadebYasser S. MahmmodMarshal M. MweuHeba A. AhmedMohamed M. El-DiastyAttia A. ElgedawyEman MahrousFatma I. El HofyMDPI AGarticle<i>Mycobacterium bovis</i>test accuracydairy cowsBayesian modellingreal-time PCRrapid lateral flowVeterinary medicineSF600-1100ENVeterinary Sciences, Vol 8, Iss 246, p 246 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	<i>Mycobacterium bovis</i> test accuracy dairy cows Bayesian modelling real-time PCR rapid lateral flow Veterinary medicine SF600-1100
spellingShingle	<i>Mycobacterium bovis</i> test accuracy dairy cows Bayesian modelling real-time PCR rapid lateral flow Veterinary medicine SF600-1100 Ibrahim Elsohaby Jawher I. Alahadeb Yasser S. Mahmmod Marshal M. Mweu Heba A. Ahmed Mohamed M. El-Diasty Attia A. Elgedawy Eman Mahrous Fatma I. El Hofy Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models
description	The aim of the present study was to calculate the sensitivity (Se) and specificity (Sp) of the single cervical tuberculin test (SCT), rapid lateral flow test (RLFT), and real-time polymerase chain reaction (RT-PCR) for the diagnosis of <i>Mycobacterium bovis</i> (<i>M. bovis</i>) infection in Egyptian dairy cattle herds within a Bayesian framework. The true <i>M. bovis</i> infection within-herd prevalence was assessed as a secondary objective. Data on the test results of SCT, RLFT, and RT-PCR for the detection of <i>M. bovis</i> were available from 245 cows in eleven herds in six major governorates in Egypt. A Bayesian latent class model was built for the estimation of the characteristics of the three tests. Our findings showed that Se of SCT (0.93 (95% Posterior credible interval (PCI): 0.89–0.93)) was higher than that of RT-PCR (0.83 (95% PCI: 0.28–0.93)) but was similar to the Se of RLFT (0.93 (95% PCI: 0.31–0.99)). On the contrary, SCT showed the lowest Sp estimate (0.60 (95% PCI: 0.59–0.65)), whereas Sp estimates of RT-PCR (0.99 (95% PCI: 0.95–1.00)) and RLFT (0.99 (95% PCI: 0.95–1.00)) were comparable. The true prevalence of <i>M. bovis</i> ranged between 0.07 and 0.71. In conclusion, overall, RT-PCR and RLFT registered superior performance to SCT, making them good candidates for routine use in the Egyptian bovine tuberculosis control program.
format	article
author	Ibrahim Elsohaby Jawher I. Alahadeb Yasser S. Mahmmod Marshal M. Mweu Heba A. Ahmed Mohamed M. El-Diasty Attia A. Elgedawy Eman Mahrous Fatma I. El Hofy
author_facet	Ibrahim Elsohaby Jawher I. Alahadeb Yasser S. Mahmmod Marshal M. Mweu Heba A. Ahmed Mohamed M. El-Diasty Attia A. Elgedawy Eman Mahrous Fatma I. El Hofy
author_sort	Ibrahim Elsohaby
title	Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models
title_short	Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models
title_full	Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models
title_fullStr	Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models
title_full_unstemmed	Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models
title_sort	bayesian estimation of diagnostic accuracy of three diagnostic tests for bovine tuberculosis in egyptian dairy cattle using latent class models
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b9d8e7d598394259a78471fa992ddefd
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Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models

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