Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92114
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorCheng, CHen_US
dc.creatorChow, CLen_US
dc.creatorChow, WKen_US
dc.date.accessioned2022-02-08T02:14:53Z-
dc.date.available2022-02-08T02:14:53Z-
dc.identifier.issn0950-2688en_US
dc.identifier.urihttp://hdl.handle.net/10397/92114-
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.rights© The Author(s), 2021. Published byCambridge University Press. This is an OpenAccess article, distributed under the terms ofthe Creative Commons Attribution licenc(http://creativecommons.org/licenses/by/4.0/),which permits unrestricted re-use, distributionand reproduction, provided the original articleis properly cited.en_US
dc.rightsThe following publication Cheng CH, Chow CL, ChowWK (2021). A discussion on the minimumrequired number of tests in two common pooling test methods for SARS-CoV-2.Epidemiology and Infection 149, e179, 1–6 is available at 10.1017/S0950268821001667en_US
dc.titleA discussion on the minimum required number of tests in two common pooling test methods for SARS-CoV-2en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage6en_US
dc.identifier.volume149en_US
dc.identifier.doi10.1017/S0950268821001667en_US
dcterms.abstractPooling of samples in detecting the presence of virus is an effective and efficient strategy in screening carriers in a large population with low infection rate, leading to reduction in cost and time. There are a number of pooling test methods, some being simple and others being complicated. In such pooling tests, the most important parameter to decide is the pool or group size, which can be optimized mathematically. Two pooling methods are relatively simple. The minimum numbers required in these two tests for a population with known infection rate are discussed and compared. Results are useful for identifying asymptomatic carriers in a short time and in implementing health codes systems.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEpidemiology and infection, 2021, v. 14, e179en_US
dcterms.isPartOfEpidemiology and infectionen_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85112111585-
dc.identifier.pmid34340721-
dc.identifier.eissn1469-4409en_US
dc.identifier.artne179en_US
dc.description.validate202202 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.TACUP (2021)en_US
dc.description.oaCategoryTAen_US
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