Evidence map›Paper›PMID 37252922›Full record

ArticlePloS one2023

Wastewater monitoring for detection of public health markers during the COVID-19 pandemic: Near-source monitoring of schools in England over an academic year.

Francis Hassard, Milan Vu, Shadi Rahimzadeh, Victor Castro-Gutierrez, Isobel Stanton, Beata Burczynska, Dirk Wildeboer, Gianluca Baio, Mathew R Brown, Hemda Garelick and 12 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Validation of molecular detection ofMicrobiology spectrum · 2026
    Article
  4. Article
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  6. Culture, qPCR, and genome-based surveillance ofFrontiers in microbiology · 2026
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  8. Review
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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

22 authors at 9 institutions in 3 countries.

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
Shadi RahimzadehDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
Victor Castro-GutierrezCranfield University, Bedfordshire, United Kingdom.
Isobel StantonUK Centre for Ecology and Hydrology, Wallingford, 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
Gianluca BaioDepartment of Statistical Science, University College London, London, United Kingdom.
Mathew R BrownSchool of Engineering, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
Hemda GarelickDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
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.
Azeem MajeedDepartment of Primary Care & Public Health, Imperial College Faculty of Medicine, London, United Kingdom.ORCID 0000-0002-2357-9858
Sally PriestDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.
Hubert DeniseEnvironmental Monitoring for Health Protection, UK Health Security Agency, London, United Kingdom.ORCID 0000-0001-9862-5890
Mohammad KhalifaEnvironmental Monitoring for Health Protection, UK Health Security Agency, London, United Kingdom.ORCID 0000-0002-1747-7337
Irene BassanoEnvironmental Monitoring for Health Protection, UK Health Security Agency, London, United Kingdom.
Matthew J WadeEnvironmental Monitoring for Health Protection, UK Health Security Agency, London, United Kingdom.ORCID 0000-0001-9824-7121
Jasmine GrimsleyEnvironmental Monitoring for Health Protection, UK Health Security Agency, 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 CesareDepartment of Natural Science, School of Science and Technology, Middlesex University, London, United Kingdom.ORCID 0000-0002-3934-3364
Middlesex University · GBUK Health Security Agency · GBUK Centre for Ecology & Hydrology · GBUniversity of Bath · GBImperial College London · GBUniversidad de Costa Rica · CRUniversity College London · GBUniversity of Essex · GBUniversity of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchools are high-risk settings for infectious disease transmission. Wastewater monitoring for infectious diseases has been used to identify and mitigate outbreaks in many near-source settings during the COVID-19 pandemic, including universities and hospitals but less is known about the technology when applied for school health protection. This study aimed to implement a wastewater surveillance system to detect SARS-CoV-2 and other public health markers from wastewater in schools in England.

methodsA total of 855 wastewater samples were collected from 16 schools (10 primary, 5 secondary and 1 post-16 and further education) over 10 months of school term time. Wastewater was analysed for SARS-CoV-2 genomic copies of N1 and E genes by RT-qPCR. A subset of wastewater samples was sent for genomic sequencing, enabling determination of the presence of SARS-CoV-2 and emergence of variant(s) contributing to COVID-19 infections within schools. In total, >280 microbial pathogens and >1200 AMR genes were screened using RT-qPCR and metagenomics to consider the utility of these additional targets to further inform on health threats within the schools.

resultsWe report on wastewater-based surveillance for COVID-19 within English primary, secondary and further education schools over a full academic year (October 2020 to July 2021). The highest positivity rate (80.4%) was observed in the week commencing 30th November 2020 during the emergence of the Alpha variant, indicating most schools contained people who were shedding the virus. There was high SARS-CoV-2 amplicon concentration (up to 9.2x106 GC/L) detected over the summer term (8th June - 6th July 2021) during Delta variant prevalence. The summer increase of SARS-CoV-2 in school wastewater was reflected in age-specific clinical COVID-19 cases. Alpha variant and Delta variant were identified in the wastewater by sequencing of samples collected from December to March and June to July, respectively. Lead/lag analysis between SARS-CoV-2 concentrations in school and WWTP data sets show a maximum correlation between the two-time series when school data are lagged by two weeks. Furthermore, wastewater sample enrichment coupled with metagenomic sequencing and rapid informatics enabled the detection of other clinically relevant viral and bacterial pathogens and AMR.

conclusionsPassive wastewater monitoring surveillance in schools can identify cases of COVID-19. Samples can be sequenced to monitor for emerging and current variants of concern at the resolution of school catchments. Wastewater based monitoring for SARS-CoV-2 is a useful tool for SARS-CoV-2 passive surveillance and could be applied for case identification and containment, and mitigation in schools and other congregate settings with high risks of transmission. Wastewater monitoring enables public health authorities to develop targeted prevention and education programmes for hygiene measures within undertested communities across a broad range of use cases.

Indexed as

COVID-19EnglandHumansPandemicsPublic HealthRNA, ViralSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewater

Identifiers

PMID37252922
PMCPMC10228768
OpenAlexW4378781286

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.