Evidence map›Paper›PMID 35714109›Full record

ArticlePloS one2022

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 and 9 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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  14. Can wastewater monitoring protect public health in schools?Lancet regional health. Americas · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Victor Castro-GutierrezCranfield University, Bedfordshire, United Kingdom.
Francis HassardCranfield University, Bedfordshire, United Kingdom.ORCID 0000-0003-4803-6523
Milan VuDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.ORCID 0000-0002-6851-7634
Rodrigo LeitaoDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Beata BurczynskaDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
Dirk WildeboerDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.ORCID 0000-0003-1298-7511
Isobel StantonUK Centre for Ecology and Hydrology, Wallingford, United Kingdom.
Shadi RahimzadehDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
Gianluca BaioDepartment of Statistical Science, University College London, London, United Kingdom.
Hemda GarelickDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.ORCID 0000-0003-4568-2300
Jan HofmanWater Innovation & Research Centre, Department of Chemical Engineering, University of Bath, Bath, United Kingdom.ORCID 0000-0002-5982-603X
Barbara Kasprzyk-HordernWater Innovation & Research Centre, Department of Chemistry, University of Bath, Bath, United Kingdom.
Rachel KwiatkowskaSchool of Population Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-9100-2623
Azeem MajeedDepartment of Primary Care & Public Health, Imperial College Faculty of Medicine, London, United Kingdom.
Sally PriestDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
Jasmine GrimsleyJoint Biosecurity Centre, Department for Health and Social Care, London, United Kingdom.
Lian LundyDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
Andrew C SingerUK Centre for Ecology and Hydrology, Wallingford, United Kingdom.ORCID 0000-0003-4705-6063
Mariachiara Di CesareInstitute of Public Health and Wellbeing, University of Essex, Colchester, United Kingdom.ORCID 0000-0002-3934-3364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19SARS-CoV-2ChildHumansPandemicsSchoolsWastewaterWastewater

Identifiers

PMID35714109
PMCPMC9205509

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.