Evidence map›Paper›PMID 37090541›Full record

ArticleResearch square2023

Utilizing river and wastewater as a SARS-CoV-2 surveillance tool to predict trends and identify variants of concern in settings with limited formal sewage systems.

Kayla Barnes, Joshua Levy, Kristian Andersen, Jillian Gauld, Jonathan Rigby, Oscar Kanjerwa, Christopher Uzzell, Chisomo Chilupsya, Catherine Anscombe, Christopher Tomkins-Tinch and 16 more

Abstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Kayla BarnesHarvard TH Chan School of Public Health.ORCID 0000-0002-8291-4388
Joshua LevyScripps Research Institute.
Kristian AndersenDepartment of Immunology and Microbiology The Scripps Research Institute La Jolla CA USA.ORCID 0000-0001-6431-5982
Jillian GauldInstitute for Disease Modeling, Bill & Melinda Gates Foundation.
Jonathan RigbyDepartment of Clinical Sciences, Liverpool School of Tropical Medicine.
Oscar KanjerwaMalawi-Liverpool-Wellcome Clinical Research Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Christopher UzzellORCID 0000-0002-4204-3485
Chisomo ChilupsyaMalawi-Liverpool-Wellcome Clinical Research Programme, Kamuzu University of Health Sciences, Blantyre, Malawi.
Catherine AnscombeMalawi-Liverpool-Wellcome Trust Clinical Research Programme.
Christopher Tomkins-TinchBroad Institute of MIT and Harvard.ORCID 0000-0002-9114-6421
Omar MbetiBlantyre District Health Office.
Edward CairnsDepartment of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool.
Herbert TholeMalawi-Liverpool-Wellcome Clinical Research Programme, Kamuzu University of Health Sciences.
Shannon McSweeneyDepartment of Clinical Sciences, Liverpool School of Tropical Medicine.
Marah ChibwanaMalawi-Liverpool-Wellcome Clinical Research Programme, Kamuzu University of Health Sciences.
Philip AshtonMalawi Liverpool Wellcome.
Khuzwayo JereUniversity of Liverpool.ORCID 0000-0003-3376-8529
John MeschkeUniversity of Washington.
Peter DiggleLancaster University.
Jennifer CornickDepartment of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool.
Kondwani JamboLiverpool School of Tropical Medicine.
Gift KawalaziraBlantyre District Health Office.
Steve PatersonUniversity of Liverpool.
Tonney NyirendaDepartment of Pathology, Kamuzu University of Health Sciences.
Nicholas FeaseyLiverpool School of Tropical Medicine.ORCID 0000-0003-4041-1405
Benjamin ChilimaPublic Health Institute of Malawi.

Funding

Identifying genetic determinants of Rotavirus Vaccine Failure in Malawian ChildrenK01TW010853 · FIC · HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNES, KAYLA G · 2018 to 2022
$731k
FIC NIH HHS K01 TW010853Wellcome Trust
6 · The paper itself

Abstract

The COVID-19 pandemic continues to impact health systems globally and robust surveillance is critical for pandemic control, however not all countries can sustain community surveillance programs. Wastewater surveillance has proven valuable in high-income settings, but little is known about how river and informal sewage in low-income countries can be used for environmental surveillance of SARS-CoV-2. In Malawi, a country with limited community-based COVID-19 testing capacity, we explored the utility of rivers and wastewater for SARS-CoV-2 surveillance. From May 2020 - January 2022, we collected water from up to 112 river or informal sewage sites/month, detecting SARS-CoV-2 in 8.3% of samples. Peak SARS-CoV-2 detection in water samples predated peaks in clinical cases. Sequencing of water samples identified the Beta, Delta, and Omicron variants, with Delta and Omicron detected well in advance of detection in patients. Our work highlights wastewater can be used for detecting emerging waves, identifying variants of concern and function as an early warning system in settings with no formal sewage systems.

Identifiers

PMID37090541
PMCPMC10120776

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.