Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year study
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Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year studyAuthor(s)
Date
2022Citation
NOVOA, Beatriz, RÍOS-CASTRO, Raquel, OTERO-MURAS, Irene, GOUVEIA, Susana, CABO, Adrián, SACO, Amaro, REY-CAMPOS, Magalí, PÁJARO, Manuel, FAJAR, Noelia, ARANGUREN, Raquel, ROMERO, Alejandro, PANEBIANCO, Antonella, VALDÉS, Lorena, PAYO, Pedro, ALONSO, Antonio A., FIGUERAS, Antonio and CAMESELLE, Claudio, 2022. Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year study. Science of The Total Environment. 2022. Vol. 833, p. 155140. DOI https://doi.org/10.1016/j.scitotenv.2022.155140
Abstract
[Abstract] This study presents the results of SARS-CoV-2 surveillance in sewage water of 11 municipalities and marine bioindicators in Galicia (NW of Spain) from May 2020 to May 2021. An integrated pipeline was developed including sampling, pre-treatment and biomarker quantification, RNA detection, SARS-CoV-2 sequencing, mechanistic mathematical modeling and forecasting. The viral load in the inlet stream to the wastewater treatment plants (WWTP) was used to detect new outbreaks of COVID-19, and the data of viral load in the wastewater in combination with data provided by the health system was used to predict the evolution of the pandemic in the municipalities under study within a time horizon of 7 days. Moreover, the study shows that the viral load was eliminated from the treated sewage water in the WWTP, mainly in the biological reactors and the disinfection system. As a result, we detected a minor impact of the virus in the marine environment through the analysis of seawater, marine sediments and, wild and aquacultured mussels in the final discharge point of the WWTP.
Keywords
SARS-CoV-2
COVID-19
Wastewater-based epidemiology
Virus variants
Viral load
Predictive model
Stochastic SIR model
COVID-19
Wastewater-based epidemiology
Virus variants
Viral load
Predictive model
Stochastic SIR model
Editor version
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Atribución-NoComercial-SinDerivadas 3.0 España