Optimizing Pooled Testing for Estimating the Prevalence of Multiple Diseases

dc.contributor.authorWarasi, Md S.en
dc.contributor.authorHungerford, Laura L.en
dc.contributor.authorLahmers, Kevin K.en
dc.date.accessioned2022-09-23T12:14:54Zen
dc.date.available2022-09-23T12:14:54Zen
dc.date.issued2022-08-12en
dc.date.updated2022-09-21T20:02:46Zen
dc.description.abstractPooled testing can enhance the efficiency of diagnosing individuals with diseases of low prevalence. Often, pooling is implemented using standard groupings (2, 5, 10, etc.). On the other hand, optimization theory can provide specific guidelines in finding the ideal pool size and pooling strategy. This article focuses on optimizing the precision of disease prevalence estimators calculated from multiplex pooled testing data. In the context of a surveillance application of animal diseases, we study the estimation efficiency (i.e., precision) and cost efficiency of the estimators with adjustments for the number of expended tests. This enables us to determine the pooling strategies that offer the highest benefits when jointly estimating the prevalence of multiple diseases, such as theileriosis and anaplasmosis. The outcomes of our work can be used in designing pooled testing protocols, not only in simple pooling scenarios but also in more complex scenarios where individual retesting is performed in order to identify positive cases. A software application using the shiny package in R is provided with this article to facilitate implementation of our methods. Supplementary materials accompanying this paper appear online.en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s13253-022-00511-4en
dc.identifier.eissn1537-2693en
dc.identifier.issn1085-7117en
dc.identifier.orcidHungerford, Laura [0000-0002-5680-6746]en
dc.identifier.orcidLahmers, Kevin [0000-0002-5290-3426]en
dc.identifier.otherPMC9373899en
dc.identifier.other511 (PII)en
dc.identifier.pmid35975123en
dc.identifier.urihttp://hdl.handle.net/10919/111976en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/35975123en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAnimal testingen
dc.subjectExperimental designen
dc.subjectGroup testingen
dc.subjectScreeningen
dc.subjectSurveillanceen
dc.subject3 Good Health and Well Beingen
dc.titleOptimizing Pooled Testing for Estimating the Prevalence of Multiple Diseasesen
dc.title.serialJournal of Agricultural, Biological, and Environmental Statisticsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
dcterms.dateAccepted2022-07-27en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Veterinary Medicineen
pubs.organisational-group/Virginia Tech/Veterinary Medicine/Biomedical Sciences and Pathobiologyen
pubs.organisational-group/Virginia Tech/Veterinary Medicine/Population Health Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/Faculty of Health Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Veterinary Medicine/CVM T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten
pubs.organisational-group/Virginia Tech/VT Carilion School of Medicineen
pubs.organisational-group/Virginia Tech/VT Carilion School of Medicine/Internal Medicineen
pubs.organisational-group/Virginia Tech/VT Carilion School of Medicine/Internal Medicine/Secondary Appointment-Internal Medicineen
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