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dc.contributor.authorPeel, Alison J
dc.contributor.authorMcKinley, Trevelyan J
dc.contributor.authorBaker, Kate S
dc.contributor.authorBarr, Jennifer A
dc.contributor.authorCrameri, Gary
dc.contributor.authorHayman, David TS
dc.contributor.authorFeng, Yan-Ru
dc.contributor.authorBroder, Christopher C
dc.contributor.authorWang, Lin-Fa
dc.contributor.authorCunningham, Andrew A
dc.contributor.authorWood, James LN
dc.date.accessioned2017-05-03T16:17:28Z
dc.date.available2017-05-03T16:17:28Z
dc.date.issued2013
dc.date.modified2014-05-22T22:16:58Z
dc.identifier.issn0166-0934
dc.identifier.doi10.1016/j.jviromet.2013.06.030
dc.identifier.urihttp://hdl.handle.net/10072/58570
dc.description.abstractReservoir hosts of novel pathogens are often identified or suspected as such on the basis of serological assay results, prior to the isolation of the pathogen itself. Serological assays might therefore be used outside of their original, validated scope in order to infer seroprevalences in reservoir host populations, until such time that specific diagnostic assays can be developed. This is particularly the case in wildlife disease research. The absence of positive and negative control samples and gold standard diagnostic assays presents challenges in determining an appropriate threshold, or 'cutoff', for the assay that enables differentiation between seronegative and seropositive individuals. Here, multiple methods were explored to determine an appropriate cutoff for a multiplexed microsphere assay that is used to detect henipavirus antibody binding in fruit bat plasma. These methods included calculating multiples of 'negative' control assay values, receiver operating characteristic curve analyses, and Bayesian mixture models to assess the distribution of assay outputs for classifying seropositive and seronegative individuals within different age classes. As for any diagnostic assay, the most appropriate cutoff determination method and value selected must be made according to the aims of the study. This study is presented as an example for others where reference samples, and assays that have been characterised previously, are absent.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1020628 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom295
dc.relation.ispartofpageto303
dc.relation.ispartofjournalJournal of Virological Methods
dc.relation.ispartofvolume193
dc.rights.retentionY
dc.subject.fieldofresearchVeterinary Diagnosis and Diagnostics
dc.subject.fieldofresearchApplied Statistics
dc.subject.fieldofresearchVeterinary Virology
dc.subject.fieldofresearchMicrobiology
dc.subject.fieldofresearchMedical Microbiology
dc.subject.fieldofresearchcode070703
dc.subject.fieldofresearchcode010401
dc.subject.fieldofresearchcode070712
dc.subject.fieldofresearchcode0605
dc.subject.fieldofresearchcode1108
dc.titleUse of cross-reactive serological assays for detecting novel pathogens in wildlife: assessing an appropriate cutoff for henipavirus assays in African bats
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 2013 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorPeel, Alison J.


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