Innovation in wastewater near-source tracking for rapid identification of COVID-19 in schools

Hassard, Francis; Lundy, Lian; Singer, Andrew C. ORCID: https://orcid.org/0000-0003-4705-6063; Grimsley, Jasmine; Di Cesare, Mariachiara. 2021 Innovation in wastewater near-source tracking for rapid identification of COVID-19 in schools. The Lancet Microbe, 2 (1). e4-e5. 10.1016/S2666-5247(20)30193-2

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Abstract/Summary

'Comment' article. Experience from the past month in most of the countries in which the school year has restarted is that as community cases rise, more children become infected. Wastewater-based epidemiology using near-source tracking (NST) provides public health officials insight into the carriage of COVID-19 within discrete groups of people for whom rapid action could alleviate the risk of a much larger outbreak. Wastewater NST could be the first line of defence for high-risk populations and could offer long-term advances in public health surveillance after COVID-19.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/S2666-5247(20)30193-2
UKCEH and CEH Sections/Science Areas:	Pollution (Science Area 2017-)
ISSN:	2666-5247
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	coronavirus
NORA Subject Terms:	Health
Date made live:	06 Nov 2020 15:24 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/528868

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