UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach

Castro-Gutierrez, Victor; Hassard, Francis; Vu, Milan; Leitao, Rodrigo; Burczynska, Beata; Wildeboer, Dirk; Stanton, Isobel; ... Di Cesare, Mariachiara; + view all (2022) Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach. PLoS One , 17 (6) , Article e0270168. 10.1371/journal.pone.0270168. Green open access

[thumbnail of Baio_journal.pone.0270168.pdf]
Preview
PDF
Baio_journal.pone.0270168.pdf - Published Version

Download (2MB) | Preview

Abstract

Clinical testing of children in schools is challenging, with economic implications limiting its frequent use as a monitoring tool of the risks assumed by children and staff during the COVID-19 pandemic. Here, a wastewater-based epidemiology approach has been used to monitor 16 schools (10 primary, 5 secondary and 1 post-16 and further education) in England. A total of 296 samples over 9 weeks have been analysed for N1 and E genes using qPCR methods. Of the samples returned, 47.3% were positive for one or both genes with a detection frequency in line with the respective local community. WBE offers a low cost, non-invasive approach for supplementing clinical testing and can provide longitudinal insights that are impractical with traditional clinical testing.

Type: Article
Title: Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0270168
Publisher version: https://doi.org/10.1371/journal.pone.0270168
Language: English
Additional information: © 2022 Castro-Gutierrez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: COVID-19, Child, Humans, Pandemics, SARS-CoV-2, Schools, Waste Water
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10151040
Downloads since deposit
23Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item