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Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach
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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205509/ https://www.ncbi.nlm.nih.gov/pubmed/35714109 http://dx.doi.org/10.1371/journal.pone.0270168 |
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author | Castro-Gutierrez, Victor Hassard, Francis Vu, Milan Leitao, Rodrigo Burczynska, Beata Wildeboer, Dirk Stanton, Isobel Rahimzadeh, Shadi Baio, Gianluca Garelick, Hemda Hofman, Jan Kasprzyk-Hordern, Barbara Kwiatkowska, Rachel Majeed, Azeem Priest, Sally Grimsley, Jasmine Lundy, Lian Singer, Andrew C. Di Cesare, Mariachiara |
author_facet | Castro-Gutierrez, Victor Hassard, Francis Vu, Milan Leitao, Rodrigo Burczynska, Beata Wildeboer, Dirk Stanton, Isobel Rahimzadeh, Shadi Baio, Gianluca Garelick, Hemda Hofman, Jan Kasprzyk-Hordern, Barbara Kwiatkowska, Rachel Majeed, Azeem Priest, Sally Grimsley, Jasmine Lundy, Lian Singer, Andrew C. Di Cesare, Mariachiara |
author_sort | Castro-Gutierrez, Victor |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9205509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92055092022-06-18 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 Rahimzadeh, Shadi Baio, Gianluca Garelick, Hemda Hofman, Jan Kasprzyk-Hordern, Barbara Kwiatkowska, Rachel Majeed, Azeem Priest, Sally Grimsley, Jasmine Lundy, Lian Singer, Andrew C. Di Cesare, Mariachiara PLoS One Research Article 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. Public Library of Science 2022-06-17 /pmc/articles/PMC9205509/ /pubmed/35714109 http://dx.doi.org/10.1371/journal.pone.0270168 Text en © 2022 Castro-Gutierrez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Castro-Gutierrez, Victor Hassard, Francis Vu, Milan Leitao, Rodrigo Burczynska, Beata Wildeboer, Dirk Stanton, Isobel Rahimzadeh, Shadi Baio, Gianluca Garelick, Hemda Hofman, Jan Kasprzyk-Hordern, Barbara Kwiatkowska, Rachel Majeed, Azeem Priest, Sally Grimsley, Jasmine Lundy, Lian Singer, Andrew C. Di Cesare, Mariachiara Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach |
title | Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach |
title_full | Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach |
title_fullStr | Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach |
title_full_unstemmed | Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach |
title_short | Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach |
title_sort | monitoring occurrence of sars-cov-2 in school populations: a wastewater-based approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205509/ https://www.ncbi.nlm.nih.gov/pubmed/35714109 http://dx.doi.org/10.1371/journal.pone.0270168 |
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