Aldridge, M. orcid.org/0000-0002-9347-1586 and Ellis, D. (2021) Pooled Testing and Its Applications in the COVID-19 Pandemic. In: del Carmen Boado-Penas, M., Eisenberg, J. and Şahin, Ş., (eds.) Pandemics: Insurance and Social Protection. Springer Actuarial (SPACT) . Springer , pp. 217-249. ISBN 978-3-030-78333-4
Abstract
When testing for a disease such as COVID-19, the standard method is individual testing: we take a sample from each individual and test these samples separately. An alternative is pooled testing (or ‘group testing’), where samples are mixed together in different pools, and those pooled samples are tested. When the prevalence of the disease is low and the accuracy of the test is fairly high, pooled testing strategies can be more efficient than individual testing. In this chapter, we discuss the mathematics of pooled testing and its uses during pandemics, in particular the COVID-19 pandemic. We analyse some one- and two-stage pooling strategies under perfect and imperfect tests, and consider the practical issues in the application of such protocols.
Metadata
Item Type: | Book Section |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © The Author(s) 2022. This is an open access book chapter under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Dates: |
|
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 09:30 |
Last Modified: | 17 Oct 2024 09:30 |
Status: | Published |
Publisher: | Springer |
Series Name: | Springer Actuarial (SPACT) |
Identification Number: | 10.1007/978-3-030-78334-1_11 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218505 |