A network-based group testing strategy for colleges

Abstract Group testing has recently become a matter of vital importance for efficiently and rapidly identifying the spread of Covid-19. In particular, we focus on college towns due to their density, observability, and significance for school reopenings. We propose a novel group testing strategy whic...

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Autores principales:	Alex Zhao, Kavin Kumaravel, Emanuele Massaro, Marta Gonzalez
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Covid-19 Colleges Testing Applied mathematics. Quantitative methods T57-57.97
Acceso en línea:	https://doaj.org/article/082d17451e6d4c97abd37f2edee78181
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spelling	oai:doaj.org-article:082d17451e6d4c97abd37f2edee781812021-11-28T12:09:59ZA network-based group testing strategy for colleges10.1007/s41109-021-00431-12364-8228https://doaj.org/article/082d17451e6d4c97abd37f2edee781812021-11-01T00:00:00Zhttps://doi.org/10.1007/s41109-021-00431-1https://doaj.org/toc/2364-8228Abstract Group testing has recently become a matter of vital importance for efficiently and rapidly identifying the spread of Covid-19. In particular, we focus on college towns due to their density, observability, and significance for school reopenings. We propose a novel group testing strategy which requires only local information about the underlying transmission network. By using cellphone data from over 190,000 agents, we construct a mobility network and run extensive data-driven simulations to evaluate the efficacy of four different testing strategies. Our results demonstrate that our group testing method is more effective than three other baseline strategies for reducing disease spread with fewer tests.Alex ZhaoKavin KumaravelEmanuele MassaroMarta GonzalezSpringerOpenarticleCovid-19CollegesTestingApplied mathematics. Quantitative methodsT57-57.97ENApplied Network Science, Vol 6, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Covid-19 Colleges Testing Applied mathematics. Quantitative methods T57-57.97
spellingShingle	Covid-19 Colleges Testing Applied mathematics. Quantitative methods T57-57.97 Alex Zhao Kavin Kumaravel Emanuele Massaro Marta Gonzalez A network-based group testing strategy for colleges
description	Abstract Group testing has recently become a matter of vital importance for efficiently and rapidly identifying the spread of Covid-19. In particular, we focus on college towns due to their density, observability, and significance for school reopenings. We propose a novel group testing strategy which requires only local information about the underlying transmission network. By using cellphone data from over 190,000 agents, we construct a mobility network and run extensive data-driven simulations to evaluate the efficacy of four different testing strategies. Our results demonstrate that our group testing method is more effective than three other baseline strategies for reducing disease spread with fewer tests.
format	article
author	Alex Zhao Kavin Kumaravel Emanuele Massaro Marta Gonzalez
author_facet	Alex Zhao Kavin Kumaravel Emanuele Massaro Marta Gonzalez
author_sort	Alex Zhao
title	A network-based group testing strategy for colleges
title_short	A network-based group testing strategy for colleges
title_full	A network-based group testing strategy for colleges
title_fullStr	A network-based group testing strategy for colleges
title_full_unstemmed	A network-based group testing strategy for colleges
title_sort	network-based group testing strategy for colleges
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/082d17451e6d4c97abd37f2edee78181
work_keys_str_mv	AT alexzhao anetworkbasedgrouptestingstrategyforcolleges AT kavinkumaravel anetworkbasedgrouptestingstrategyforcolleges AT emanuelemassaro anetworkbasedgrouptestingstrategyforcolleges AT martagonzalez anetworkbasedgrouptestingstrategyforcolleges AT alexzhao networkbasedgrouptestingstrategyforcolleges AT kavinkumaravel networkbasedgrouptestingstrategyforcolleges AT emanuelemassaro networkbasedgrouptestingstrategyforcolleges AT martagonzalez networkbasedgrouptestingstrategyforcolleges
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A network-based group testing strategy for colleges

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