Evidence map›Paper›PMID 35272748›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2022

Inferring transmission fitness advantage of SARS-CoV-2 variants of concern from wastewater samples using digital PCR, Switzerland, December 2020 through March 2021.

Lea Caduff, David Dreifuss, Tobias Schindler, Alexander J Devaux, Pravin Ganesanandamoorthy, Anina Kull, Elyse Stachler, Xavier Fernandez-Cassi, Niko Beerenwinkel, Tamar Kohn and 2 more

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

12 authors.

Lea CaduffEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
David DreifussDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Tobias SchindlerSwiss Tropical and Public Health Institute, Basel, Switzerland.
Alexander J DevauxEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Pravin GanesanandamoorthyEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Anina KullEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Elyse StachlerEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Xavier Fernandez-CassiLaboratory of Environmental Chemistry, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Niko BeerenwinkelDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Tamar KohnLaboratory of Environmental Chemistry, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Christoph OrtEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Timothy R JulianEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundThroughout the COVID-19 pandemic, SARS-CoV-2 genetic variants of concern (VOCs) have repeatedly and independently arisen. VOCs are characterised by increased transmissibility, increased virulence or reduced neutralisation by antibodies obtained from prior infection or vaccination. Tracking the introduction and transmission of VOCs relies on sequencing, typically whole genome sequencing of clinical samples. Wastewater surveillance is increasingly used to track the introduction and spread of SARS-CoV-2 variants through sequencing approaches.AimHere, we adapt and apply a rapid, high-throughput method for detection and quantification of the relative frequency of two deletions characteristic of the Alpha, Beta, and Gamma VOCs in wastewater.MethodsWe developed drop-off RT-dPCR assays and an associated statistical approach implemented in the R package WWdPCR to analyse temporal dynamics of SARS-CoV-2 signature mutations (spike Δ69-70 and ORF1a Δ3675-3677) in wastewater and quantify transmission fitness advantage of the Alpha VOC.ResultsBased on analysis of Zurich wastewater samples, the estimated transmission fitness advantage of SARS-CoV-2 Alpha based on the spike Δ69-70 was 0.34 (95% confidence interval (CI): 0.30-0.39) and based on ORF1a Δ3675-3677 was 0.53 (95% CI: 0.49-0.57), aligning with the transmission fitness advantage of Alpha estimated by clinical sample sequencing in the surrounding canton of 0.49 (95% CI: 0.38-0.61).ConclusionDigital PCR assays targeting signature mutations in wastewater offer near real-time monitoring of SARS-CoV-2 VOCs and potentially earlier detection and inference on transmission fitness advantage than clinical sequencing.

Indexed as

COVID-19SARS-CoV-2HumansPandemicsPolymerase Chain ReactionSwitzerlandWastewaterWastewater-Based Epidemiological MonitoringWastewaterB.1.1.7digital PCRdrop-off assaysSARS-CoV-2transmission fitness

Identifiers

PMID35272748
PMCPMC8915404

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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.