SARS-CoV-2 genome quantification in wastewaters at regional and city scale allows precise monitoring of the whole outbreaks dynamics and variants spreading in the population.

COVID-19 Epidemiology Quantification RT-qPCR SARS-CoV-2 Variant monitoring Wastewater

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Mar 2022
Historique:
received: 24 08 2021
revised: 02 12 2021
accepted: 02 12 2021
pubmed: 14 12 2021
medline: 21 1 2022
entrez: 13 12 2021
Statut: ppublish

Résumé

SARS-CoV-2 is a coronavirus causing a globalized outbreak called COVID-19. SARS-CoV-2 transmission is associated with inhalation of contaminated respiratory droplets and could causes severe complications. Until today several "waves" of infections have been observed despite implementation of strict health policies. Decisions for such sanitary measures are based on population health monitoring. Unfortunately, for COVID-19, a significant proportion of individuals are asymptomatic but play a role in the virus transmission. To overcome these limitations, several strategies were developed including genome quantification in wastewater that could allow monitoring of the health status of population, since shedding of SARS-CoV-2 in patient stool is frequent. Wastewater-based epidemiology (WBE) was established and several countries implemented this approach to allow COVID-19 outbreak monitoring. In France, the OBEPINE project performed a quantitative analysis of SARS-CoV-2 in raw wastewater samples collected from major wastewater treatment plants (WWTP) since March 2020. In the greater Paris area 1101 samples (507 for five WWTP and 594 for sewer) were collected. This 16 months monitoring allows us to observe the outbreak dynamics. Comparison of WBE indicators with health data lead to several important observation; the good level of correlation with incidence rates, the average 3 days lead time, and the sensitivity (WBE change when incidence is > to 7/100000 inhabitants). We also compared the local monitoring (city level) with the regional monitoring, to help cluster identification. Moreover, variants of concern (VOC) emerged due to the selection pressure. We developed a specific RT-qPCR method targeting the deletion H69-V70 in the spike protein, using this deletion as a proxy of the B.1.1.7 presence in the wastewater. With this data we demonstrate the predominant role played by this strain in the third wave. All these results allow a better description and understanding of the pandemic and highlight the role of such WBE indicators.

Identifiants

pubmed: 34896511
pii: S0048-9697(21)07289-2
doi: 10.1016/j.scitotenv.2021.152213
pmc: PMC8656174
pii:
doi:

Substances chimiques

Waste Water 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152213

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

S Wurtzer (S)

Eau de Paris, R&D Laboratory, DRDQE Ivry/Seine, France.

P Waldman (P)

Sorbonne Université, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, Paris, France.

M Levert (M)

Sorbonne Université, CNRS, Université de Paris, Laboratoire Jacques-Louis Lions (LJLL), et Institut Universitaire de France, Paris, France.

N Cluzel (N)

Sorbonne Université, CNRS, Université de Paris, Laboratoire Jacques-Louis Lions (LJLL), et Institut Universitaire de France, Paris, France.

J L Almayrac (JL)

SIAAP, Service process-laboratoire SIAAP site Seine Amont, Valenton, France.

C Charpentier (C)

Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, F-75018 Paris, France.

S Masnada (S)

SIAM - STV, Avenue de la courtiere, 77400 Saint Thibault des vignes, France.

M Gillon-Ritz (M)

Direction de la Propreté et de l'Eau - Service Technique de l'Eau et de l'Assainissement, rue du Commandeur, 75014 Paris, France.

J M Mouchel (JM)

Sorbonne Université, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, Paris, France.

Y Maday (Y)

Sorbonne Université, CNRS, Université de Paris, Laboratoire Jacques-Louis Lions (LJLL), et Institut Universitaire de France, Paris, France.

M Boni (M)

Institut de Recherche Biomédicale des Armées, 1 place Valérie André, F-91220 Brétigny sur Orge, France.

V Marechal (V)

Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine2, Paris, France.

L Moulin (L)

Eau de Paris, R&D Laboratory, DRDQE Ivry/Seine, France. Electronic address: laurent.moulin@eaudeparis.fr.

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