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Monitoring occurrence of SARS-CoV-2 in school populations: a wastewater-based approach
Victor Castro Gutierrez; Francis Hassard; Milan Vu; Rodrigo Leitao; Beata Burczynska; Dirk Wildeboer; Isobel Stanton; Shadi Rahimzadeh; Gianluca Baio; Hemda Garelick; Jan Hofman; Barbara Kasprzyk-Hordern; Rachel Kwiatkowska; Azeem Majeed; Sally Priest; Jasmine Grimsley; Lian Lundy; Andrew C Singer; Mariachiara Di Cesare.
Affiliation
  • Victor Castro Gutierrez; Cranfield University, Bedfordshire, UK
  • Francis Hassard; Cranfield University, Bedfordshire, UK
  • Milan Vu; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Rodrigo Leitao; Cranfield University, Bedfordshire, UK
  • Beata Burczynska; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Dirk Wildeboer; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Isobel Stanton; UK Centre for Ecology and Hydrology, Wallingford, UK
  • Shadi Rahimzadeh; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Gianluca Baio; Department of Statistical Science, University College London, London, UK
  • Hemda Garelick; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Jan Hofman; Water Innovation & Research Centre, Department of Chemical Engineering, University of Bath, UK
  • Barbara Kasprzyk-Hordern; Department of Chemistry, University of Bath, UK
  • Rachel Kwiatkowska; School of Population Health Sciences, University of Bristol- Field Services, National Infection Service, Public Health England
  • Azeem Majeed; Department of Primary Care & Social Medicine, Imperial College Faculty of Medicine, London, UK
  • Sally Priest; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Jasmine Grimsley; Joint Biosecurity Centre, Department for Health and Social Care, London, UK
  • Lian Lundy; Department of Natural Science, School of Science and Technology, Middlesex University, London, UK
  • Andrew C Singer; UK Centre for Ecology and Hydrology, Wallingford, UK
  • Mariachiara Di Cesare; Middlesex University Faculty of Science and Technology
Preprint in English | medRxiv | ID: ppmedrxiv-21254231
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 for a total of 17 sites) 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 frequency of detection in line with the respective community. WBE offers a promising low cost, non-invasive approach for supplementing clinical testing and can offer longitudinal insights that are impractical with traditional clinical testing.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint
Fulltext
Add to My VHL
Print
XML
Search on Google
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2021 Document type: Preprint