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| 02942nam 2200421zi 4500 |
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001 | 9.910449 |
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003 | CaOODSP |
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005 | 20220421150853 |
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006 | m o d f |
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007 | cr mn||||||||| |
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008 | 220421e202012 onca ob f000 0 eng d |
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040 | |aCaOODSP|beng|erda|cCaOODSP |
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041 | 0 |aeng|beng|bfre |
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086 | 1 |aD68-2/127-2020E-PDF |
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100 | 1 |aMirshak, Ramzi, |eauthor. |
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245 | 10|aChallenges of sentinel testing for early detection of coronavirus disease 2019 (COVID-19) infections : |bapplication to office buildings or other similar environments / |cRamzi Mirshak. |
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264 | 1|aKanata, ON : |bDefence Research and Development Canada = Recherche et développement pour la défense Canada, |cDecember 2020. |
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264 | 4|c©2020 |
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300 | |a1 online resource (viii, 37 pages) : |billustrations (chiefly colour). |
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336 | |atext|btxt|2rdacontent |
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337 | |acomputer|bc|2rdamedia |
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338 | |aonline resource|bcr|2rdacarrier |
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490 | 1 |aScientific report ; |vDRDC-RDDC-2020-R127 |
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500 | |aIssued by: Centre for Operational Research and Analysis. |
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500 | |a"Can unclassified." |
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504 | |aIncludes bibliographical references (pages 35-36). |
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520 | 3 |a"This Scientific Report examines the utility of regular sentinel testing for monitoring coronavirus disease 2019 (COVID-19) activity in an office building or other similar setting where a group of individuals congregate but also mix with the general population. This is different from traditional sentinel testing where the objective is to understand the prevalence of a large region. Here, the goal is to ascertain the health of the building population relative to that regional scale. Two methods are considered. The first is known as Freedom from Disease (FFD), which was developed in veterinary medicine to examine livestock infections across a large region and was recently suggested as a tool to demonstrate absence of COVID-19 on a military base. The second is an extension that accepts the virus may be within the group and, considering the effect of false positives, provides insights on the point prevalence in the group relative to the background point prevalence of the community. Both methods apply a Bayesian approach to make these inferences"--Abstract, page i. |
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546 | |aIncludes abstracts in English and French. |
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650 | 0|aCOVID-19 (Disease)|xDiagnosis. |
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650 | 0|aCOVID-19 (Disease)|xPrevention. |
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650 | 0|aOffice buildings|xSafety measures. |
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650 | 6|aCOVID-19|xDiagnostic. |
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650 | 6|aCOVID-19|xPrévention. |
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650 | 6|aImmeubles de bureaux|xSécurité|xMesures. |
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710 | 2 |aDefence R&D Canada. |bCentre for Operational Research and Analysis, |eissuing body. |
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830 | #0|aScientific report (Defence R&D Canada)|vDRDC-RDDC-2020-R127.|w(CaOODSP)9.802305 |
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856 | 40|qPDF|s9.69 MB|uhttps://publications.gc.ca/collections/collection_2022/rddc-drdc/D68-2-127-2020-eng.pdf |
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