Diagnostic performance measures of ELISA and quantitative PCR tests for porcine circovirus type 2 exposure using Bayesian latent class analysis

Haley, Charles; Wagner, Bruce A.; Puvanendiran, S.; Abrahante, Juan E.; Murtaugh, Michael P.

doi:10.1016/j.prevetmed.2011.05.001

Cited by 14 publications

(16 citation statements)

References 22 publications

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“…Sensitivity testing was done for each model by lowering prior test accuracy estimates’ mode by 10 percentage points (eg., ELISA Se from 0.95 to 0.85), relaxing the beta distribution to a 50th percentile and reducing the lower bound 10 percentage points below the previous lower bound (eg., ELISA Se from 0.9 to 0.8) and using a uniform beta distribution as the prior distribution for exposure prevalence.108 …”

Section: Other Analyses: Report Other Analyses Done Such As Sensimentioning

confidence: 99%

Explanation and Elaboration Document for the STROBE‐Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology—Veterinary Extension

O’Connor

Sargeant

Dohoo

et al. 2016

Veterinary Internal Medicne

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The STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) statement was first published in 2007 and again in 2014. The purpose of the original STROBE was to provide guidance for authors, reviewers, and editors to improve the comprehensiveness of reporting; however, STROBE has a unique focus on observational studies. Although much of the guidance provided by the original STROBE document is directly applicable, it was deemed useful to map those statements to veterinary concepts, provide veterinary examples, and highlight unique aspects of reporting in veterinary observational studies. Here, we present the examples and explanations for the checklist items included in the STROBE‐Vet statement. Thus, this is a companion document to the STROBE‐Vet statement methods and process document (JVIM_14575 “Methods and Processes of Developing the Strengthening the Reporting of Observational Studies in Epidemiology—Veterinary (STROBE‐Vet) Statement” undergoing proofing), which describes the checklist and how it was developed.

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Section: Other Analyses: Report Other Analyses Done Such As Sensimentioning

confidence: 99%

Explanation and Elaboration Document for the STROBE‐Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology—Veterinary Extension

O’Connor

Sargeant

Dohoo

et al. 2016

Veterinary Internal Medicne

View full text Add to dashboard Cite

show abstract

“…A Bayesian latent class analysis was implemented in WinBUGS 1.4 (Spiegelhalter et al, 2003) and R 2.14.2 (R Foundation and Statistical Computing 2012) to estimate the prevalence, sensitivity and specificity of the three tests, using models developed by Branscum et al (2005), Berkvens et al (2006), Nérette et al (2008) and Haley et al (2011) separately for sheep and goats. In a three test scenario, 7 parameters need to be estimated by the multinominal model under the assumption of conditional independence namely; the prevalence, and the sensitivities and specificities of the three tests.…”

Section: Model Buildingmentioning

confidence: 99%

“…In addition, conditional correlations were computed as described in Georgiadis et al (2003), Haley et al (2011) and Branscum et al (2005). According to Georgiadis et al (2003), when the conditional correlations are low (≤0.2), the estimates of the conditional dependence and independence models are similar whereas when the correlations are high (>0.2) the conditional dependence model should be considered.…”

Section: Modeling Conditional Dependencementioning

confidence: 99%

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Bayesian estimation of true prevalence, sensitivity and specificity of indirect ELISA, Rose Bengal Test and Slow Agglutination Test for the diagnosis of brucellosis in sheep and goats in Bangladesh

Rahman¹,

Saegerman²,

Berkvens³

et al. 2013

Preventive Veterinary Medicine

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a b s t r a c tThe true prevalence of brucellosis and diagnostic test characteristics of three conditionally dependent serological tests were estimated using the Bayesian approach in goats and sheep populations of Bangladesh. Serum samples from a random selection of 636 goats and 1044 sheep were tested in parallel by indirect ELISA (iELISA), Rose Bengal Test (RBT) and Slow Agglutination Test (SAT). The true prevalence of brucellosis in goats and sheep were estimated as 1% (95% credibility interval (CrI): 0.7-1.8) and 1.2% (95% CrI: 0.6-2.2) respectively. The sensitivity of iELISA was 92.9% in goats and 92.0% in sheep with corresponding specificities of 96.5% and 99.5% respectively. The sensitivity and specificity estimates of RBT were 80.2% and 99.6% in goats and 82.8% and 98.3% in sheep. The sensitivity and specificity of SAT were 57.1% and 99.3% in goats and 72.0% and 98.6% in sheep. In this study, three conditionally dependent serological tests for the diagnosis of small ruminant brucellosis in Bangladesh were validated. Considerable conditional dependence between IELISA and RBT and between RBT and SAT was observed among sheep. The influence of the priors on the model fit and estimated parameter values was checked using sensitivity analysis. In multiple test validation, conditional dependence should not be ignored when the tests are in fact conditionally dependent.

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“…Three open reading frames (ORFs -ORF1, ORF2 and ORF3) were recognized in the PCV2 genome [1]. PCV2 is recognized as a necessary, but not suffi cient, agent of porcine-circovirus-associated diseases (PCVAD), including postweaning multisystemic wasting syndrome (PMWS) and porcine dermatitis and nephropathy syndrome (PDNS) [2]. Other pathological conditions linked to PCV2 are reproductive failure, proliferative and necrotizing pneumonia and respiratory disease [3].…”

Section: Introductionmentioning

confidence: 99%

Molecular Detection of PCV2 And PPV in Pigs in Republic of Srpska, Bosnia and Herzegovina

et al. 2016

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The presence of porcine circovirus 2 and porcine parvovirus was examined in forty clinical samples of spleen, lymph nodes and lungs originating from non-vaccinated swine by polymerase chain reaction. All animals were reared in extensive livestock farming systems in different geographical districts of Republic of Srpska, Bosnia and Herzegovina. Porcine circovirus 2 DNA was detected in four lymph node and two spleen samples (15%), while porcine parvovirus DNA was identifi ed in fi ve lymph node samples (12.5%). The presence of both viruses was detected in three lymph node samples (7.5%). Partial nucleotide sequence of ORF1 gene of 2 porcine circovirus 2 and VP2 gene of 2 porcine parvovirus isolates was determined. The nucleotide sequences of two PCV2 isolates from RS-BIH included in phylogenetic typing are similar and cluster together with the strain Mantova isolated from domestic pigs in Italy, strains DE006-14 and DE222-13 isolated from pigs in Germany as well as with the strain Jvnan isolated from pigs in China. Also, analyzed PCV2 isolates were partially similar to the strain NIV-C SRB isolated from pigs in Serbia. The nucleotide sequences of two PPV isolates that were included in phylogenetic typing showed a high level of similarity with the strain Challenge isolated from pigs in UK, strain Kresse isolated from pigs in USA and strains 77 and LZ isolated from pigs in China.

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Diagnostic performance measures of ELISA and quantitative PCR tests for porcine circovirus type 2 exposure using Bayesian latent class analysis

Cited by 14 publications

References 22 publications

Explanation and Elaboration Document for the STROBE‐Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology—Veterinary Extension

Explanation and Elaboration Document for the STROBE‐Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology—Veterinary Extension

Bayesian estimation of true prevalence, sensitivity and specificity of indirect ELISA, Rose Bengal Test and Slow Agglutination Test for the diagnosis of brucellosis in sheep and goats in Bangladesh

Molecular Detection of PCV2 And PPV in Pigs in Republic of Srpska, Bosnia and Herzegovina

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