2013
DOI: 10.1016/j.tvjl.2012.06.007
|View full text |Cite
|
Sign up to set email alerts
|

Bayesian estimation of the true prevalence, sensitivity and specificity of the Rose Bengal and indirect ELISA tests in the diagnosis of bovine brucellosis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

8
33
1
1

Year Published

2015
2015
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 30 publications
(43 citation statements)
references
References 30 publications
8
33
1
1
Order By: Relevance
“…The significant difference observed between results of RB and iELISA tests was previously reported by several authors in Benin and elsewhere in Africa (Delafosse et al, 2002;Kouamo et al, 2010;Dean et al, 2013;Sanogo et al, 2013). The monthly variations of the prevalence are due to variations of the antibody titre.…”
Section: Discussionmentioning
confidence: 57%
See 1 more Smart Citation
“…The significant difference observed between results of RB and iELISA tests was previously reported by several authors in Benin and elsewhere in Africa (Delafosse et al, 2002;Kouamo et al, 2010;Dean et al, 2013;Sanogo et al, 2013). The monthly variations of the prevalence are due to variations of the antibody titre.…”
Section: Discussionmentioning
confidence: 57%
“…Furthermore, iELISA was used in several recent cross-sectional studies in Africa for the evaluation of the seroprevalence of brucellosis with reliable results (Boukary et al, 2013;Sanogo et al, 2013). However, in this longitudinal study, the overall seroprevalence of 16.77% cannot be extrapolated to the entire country because of the limited size of the investigated herds.…”
Section: Discussionmentioning
confidence: 99%
“…Em síntese, considerar a variabilidade nas características dos testes diagnósticos é fundamental, pois a não contabilização de incertezas em todos os parâmetros simultaneamente, pode afetar substancialmente as inferências finais (Joseph et al 1995), ou seja, a verdadeira prevalência. O conhecimento prévio pode ajudar a reduzir o número de parâmetros a serem estimados pelo modelo (Sanogo et al 2013). O que pode melhorar a estimativa, como no presente estudo, onde o IC foi consideravelmente reduzido no modelo, no qual prioris informativas foram incluídas.Assim, deve ficar claro que os resultados do método bayesiano podem depender fortemente das evidências disponíveis sobre a sensibilidade e especificidade, expressa nas distribuições a priori para um SE e SP (Enøe et al 2000, Geurden et al 2008.…”
Section: Discussionunclassified
“…Since there was some uncertainty as to the sensitivities (Se) and specificities (Sp) for both the RBT and indirect ELISA tests, a search was conducted under the PubMed database and a total of 16 articles were obtained. The selected literatures (Matope et al, 2011), (Matovic, 2008), (Abernethy et al, 2012), (Sanogo et al, 2013) were then reviewed and averages were calculated for Sensitivity and Specificity values which were used in the calculations for prevalence. These were RBT; Se = 0.75, Sp = 0.92, indirect ELISA; Se = 0.73, Sp = 0.96.…”
Section: Prevalence Analysismentioning
confidence: 99%