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.
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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-pp.ucl.ac.uk/id/eprint/10151040 |
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