Evidence map›Paper›PMID 35917966›Full record

ArticleThe Science of the total environment2022

From Alpha to Omicron BA.2: New digital RT-PCR approach and challenges for SARS-CoV-2 VOC monitoring and normalization of variant dynamics in wastewater.

Sebastien Wurtzer, Morgane Levert, Eloïse Dhenain, Heberte Accrombessi, Sandra Manco, Nathalie Fagour, Marion Goulet, Nicolas Boudaud, Lucie Gaillard, Isabelle Bertrand and 8 more

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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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

18 authors at 4 institutions in 1 country.

Sebastien WurtzerEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France. Electronic address: sebastien.wurtzer@eaudeparis.fr.
Morgane LevertSorbonne Universite, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, F-75005 Paris, France.
Eloïse DhenainSorbonne Universite, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, F-75005 Paris, France.
Heberte AccrombessiEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Sandra MancoEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Nathalie FagourEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Marion GouletEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Nicolas BoudaudACTALIA, Food Safety Department, F-50000 Saint-Lô, France.
Lucie GaillardACTALIA, Food Safety Department, F-50000 Saint-Lô, France.
Isabelle BertrandUniversity of Lorraine, CNRS, LCPME, F-54000 Nancy, France.
Julie ChallantUniversity of Lorraine, CNRS, LCPME, F-54000 Nancy, France.
Sophie MasnadaSIAM - STV, Avenue de la courtiere, FR-77400 Saint Thibault des vignes, France.
Sam AzimiSIAAP, Innovation Department, 82 Avenue Kléber, FR-92700 Colombes, France.
Miguel Gillon-RitzDirection de la Proprete et de l'Eau - Service Technique de l'Eau et de l'Assainissement, Rue du Commandeur, FR-75014 Paris, France.
Alban RobinEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Jean-Marie MouchelSorbonne Universite, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, F-75005 Paris, France.
Obepine SigSorbonne Universite, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, F-75005 Paris, France.
Laurent MoulinEau de Paris, Research & Development, 33 avenue Jean Jaures, FR-94200 Ivry sur Seine, France.
Eau de Paris (France) · FRCentre National de la Recherche Scientifique · FRActalia (France) · FRInnovascience · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Throughout the COVID-19 pandemic, new variants have continuously emerged and spread in populations. Among these, variants of concern (VOC) have been the main culprits of successive epidemic waves, due to their transmissibility, pathogenicity or ability to escape the immune response. Quantification of the SARS-CoV-2 genomes in raw wastewater is a reliable approach well-described and widely deployed worldwide to monitor the spread of SARS-CoV-2 in human populations connected to sewage systems. Discrimination of VOCs in wastewater is also a major issue and can be achieved by genome sequencing or by detection of specific mutations suggesting the presence of VOCs. This study aimed to date the emergence of these VOCs (from Alpha to Omicron BA.2) by monitoring wastewater from the greater Paris area, France, but also to model the propagation dynamics of these VOCs and to characterize the replacement kinetics of the prevalent populations. These dynamics were compared to various individual-centered public health data, such as regional incidence and the proportions of VOCs identified by sequencing of strains isolated from patient. The viral dynamics in wastewater highlighted the impact of the vaccination strategy on the viral circulation within human populations but also suggested its potential effect on the selection of variants most likely to be propagated in immunized populations. Normalization of concentrations to capture population movements appeared statistically more reliable using variations in local drinking water consumption rather than using PMMoV concentrations because PMMoV fecal shedding was subject to variability and was not sufficiently relevant in this study. The dynamics of viral spread was observed earlier (about 13 days on the wave related to Omicron VOC) in raw wastewater than the regional incidence alerting to a possible risk of decorrelation between incidence and actual virus circulation probably resulting from a lower severity of infection in vaccinated populations.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansPandemicsReverse Transcriptase Polymerase Chain ReactionSewageWastewaterSewageWastewaterCOVID-19OmicronPMMoVSARS-CoV-2VariantWastewater

Identifiers

PMID35917966
PMCPMC9338838
OpenAlexW4288886046

What OpenQuestion holds

Textmetadata
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.