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A Statistical Approach to Batched Prevalence Testing for Coronavirus

dc.creatorBerger, William
dc.creatorDabrowski, Konrad
dc.creatorRobinson, Jake
dc.creatorSales, Adam
dc.date.accessioned2020-07-01T15:58:49Z
dc.date.available2020-07-01T15:58:49Z
dc.date.issued2020-03-30
dc.identifier.citationBerger, William and Dabrowski, Konrad and Robinson, Jake and Sales, Adam, A Statistical Approach to Batched Prevalence Testing for Coronavirus (March 30, 2020). Available at SSRN: https://ssrn.com/abstract=3564340 or http://dx.doi.org/10.2139/ssrn.3564340
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/220
dc.identifier.urihttp://hdl.handle.net/20.500.12613/236
dc.description.abstractAs cases of novel coronavirus mount, the ability to conduct expeditious prevalence testing becomes paramount. A statistical approach to batched prevalence testing offers a more rapid and efficient means of monitoring at-risk populations.
dc.format.extent6 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofCOVID-19 Research
dc.relation.isreferencedbySSRN Electronic Journal
dc.rightsAll Rights Reserved
dc.subjectCoronavirus
dc.subjectBatch testing
dc.subjectPrevalence testing
dc.titleA Statistical Approach to Batched Prevalence Testing for Coronavirus
dc.typeText
dc.type.genrePre-print
dc.relation.doihttps://doi.org/10.2139/ssrn.3564340
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Science and Technology
dc.description.schoolcollegeLewis Katz School of Medicine
dc.temple.creatorDabrowski, Konrad
dc.temple.creatorRobinson, Jake
refterms.dateFOA2020-07-01T15:58:49Z


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