التفاصيل البيبلوغرافية
| العنوان: |
Bayesian Estimation of Diagnostic Accuracy of Three Diagnostic Tests for Bovine Tuberculosis in Egyptian Dairy Cattle Using Latent Class Models. |
| المؤلفون: |
Elsohaby, Ibrahim, Alahadeb, Jawher I., Mahmmod, Yasser S., Mweu, Marshal M., Ahmed, Heba A., El-Diasty, Mohamed M., Elgedawy, Attia A., Mahrous, Eman, El Hofy, Fatma I. |
| المصدر: |
Veterinary Sciences; Nov2021, Vol. 8 Issue 11, p1-10, 10p |
| مصطلحات موضوعية: |
BAYESIAN analysis, TUBERCULOSIS in cattle, DAIRY cattle, LATENT class analysis (Statistics), REVERSE transcriptase polymerase chain reaction |
| مستخلص: |
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 Mycobacterium bovis (M. bovis) infection in Egyptian dairy cattle herds within a Bayesian framework. The true M. bovis 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 M. bovis 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 M. bovis 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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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