Bayesian estimation of diagnostic sensitivity and specificity of a qPCR and a bacteriological culture method forPiscirickettsia salmonisin farmed Atlantic salmon (Salmo salarL.) in Chile

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dc.contributor.authorLaurin, Emilie
dc.contributor.authorGardner, Ian A.
dc.contributor.authorPena, Andrea
dc.contributor.authorRozas Serri, Marco
dc.contributor.authorGayosa, Jorge
dc.contributor.authorHeise, Joaquin Neumann
dc.contributor.authorMardones, Fernando O.
dc.date.accessioned2024-01-10T13:44:17Z
dc.date.available2024-01-10T13:44:17Z
dc.date.issued2020
dc.description.abstractEarly detection of piscirickettsiosis is an important purpose of government- and industry-based surveillance for the disease in Atlantic salmon farms in Chile. Real-time qPCRs are currently used for surveillance because bacterial isolation is inadequately sensitive or rapid enough for routine use. Since no perfect tests exist, we used Bayesian latent class models to estimate diagnostic sensitivity (DSe) and specificity (DSp) of qPCR and culture using separate two-test, single-population models for three farms (n = 148, 151, 44). Informative priors were used forDSp(culture (beta(999,1); qPCR (beta(98,2)), and flat priors (beta 1,1) forDSeand prevalence. Models were run for liver and kidney tissues combined and separately, based on the presence of selected gross-pathological signs. Across all models, qPCRDSewas 5- to 30-fold greater than for culture. Combined-tissue qPCR medianDSewas highest in Farm 3 (sampled duringP. salmonisoutbreak (DSe = 97.6%)) versus Farm 1 (DSe = 85.6%) or Farm 2 (DSe = 83.5%), both sampled before clinical disease. MedianDSeof qPCR was similar for liver and kidney, but higher when gross-pathological signs were evident at necropsy. HighDSeandDSpand rapid turnaround-time indicate that the qPCR is fit for surveillance programmes and diagnosis during an outbreak. Targeted testing of salmon with gross-pathological signs can enhanceDSe.
dc.description.funderSernapesca
dc.description.funderCanada Excellence Research Chair in Aquatic Epidemiology, University of Prince Edward Island
dc.description.funderSalmonChile
dc.fechaingreso.objetodigital2024-05-14
dc.format.extent9 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1111/jfd.13226
dc.identifier.eissn1365-2761
dc.identifier.issn0140-7775
dc.identifier.pubmedidMEDLINE:32716071
dc.identifier.urihttps://doi.org/10.1111/jfd.13226
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78883
dc.identifier.wosidWOS:000552364000001
dc.information.autorucInterdisciplinarias; Mardones Loyola, Fernando Otoniel; S/I; 1084534
dc.issue.numero10
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final1175
dc.pagina.inicio1167
dc.publisherWILEY
dc.revistaJOURNAL OF FISH DISEASES
dc.rightsacceso restringido
dc.subjectBayesian latent class model
dc.subjectPiscirickettsia salmonis
dc.subjectpiscirickettsiosis
dc.subjectqPCR
dc.subjectsensitivity
dc.subjectspecificity
dc.subjectLATENT CLASS ANALYSIS
dc.subjectREAL-TIME PCR
dc.subjectPISCIRICKETTSIA-SALMONIS
dc.subjectINFECTIOUS-DISEASES
dc.subjectIMMUNE-RESPONSE
dc.subjectTISSUE-CULTURE
dc.subjectPATHOGEN
dc.subjectACCURACY
dc.subjectFISH
dc.subjectSTANDARDS
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleBayesian estimation of diagnostic sensitivity and specificity of a qPCR and a bacteriological culture method forPiscirickettsia salmonisin farmed Atlantic salmon (Salmo salarL.) in Chile
dc.typeartículo
dc.volumen43
sipa.codpersvinculados1084534
sipa.indexWOS
sipa.indexPubmed
sipa.trazabilidadCarga SIPA;09-01-2024
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