Aldridge, M. orcid.org/0000-0002-9347-1586 (2021) Pooled testing to isolate infected individuals. In: 2021 55th Annual Conference on Information Sciences and Systems (CISS). 2021 55th Annual Conference on Information Sciences and Systems (CISS), 24-26 Mar 2021, Baltimore, USA. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9781665448444
Abstract
The usual problem for group testing is this: For a given number of individuals and a given prevalence, how many tests T ' are required to find every infected individual? In real life, however, the problem is usually different: For a given number of individuals, a given prevalence, and a limited number of tests T much smaller than T ' , how can these tests best be used? In this conference paper, we outline some recent results on this problem for two models. First, the `practical' model, which is relevant for screening for COVID-19 and has tests that are highly specific but imperfectly sensitive, shows that simple algorithms can be outperformed at low prevalence and high sensitivity. Second, the `theoretical' model of very low prevalence with perfect tests gives interesting new mathematical results.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IEEE 2021. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Oct 2024 09:21 |
Last Modified: | 17 Oct 2024 09:21 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/ciss50987.2021.9400313 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218507 |