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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 study
dc.contributor.author | Novoa, Beatriz | |
dc.contributor.author | Ríos-Castro, Raquel | |
dc.contributor.author | Otero-Muras, Irene | |
dc.contributor.author | Gouveia, Susana | |
dc.contributor.author | Cabo, Adrián | |
dc.contributor.author | Saco, Amaro | |
dc.contributor.author | Rey-Campos, Magalí | |
dc.contributor.author | Pájaro Diéguez, Manuel | |
dc.contributor.author | Fajar, Noelia M | |
dc.contributor.author | Aranguren, Raquel | |
dc.contributor.author | Romero, Alejandro | |
dc.contributor.author | Panebianco, Antonella | |
dc.contributor.author | Valdés, Lorena | |
dc.contributor.author | Payo, Pedro | |
dc.contributor.author | Alonso, Antonio | |
dc.contributor.author | Figueras, Antonio | |
dc.contributor.author | Cameselle, Claudio | |
dc.date.accessioned | 2022-07-13T16:24:15Z | |
dc.date.available | 2022-07-13T16:24:15Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | 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 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/31179 | |
dc.description.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. | es_ES |
dc.description.sponsorship | The authors gratefully acknowledge the support of this work through the project “DIMCoVAR” funded in the program “Fondo Supera COVID” of the CRUE (Spanish Universities)-Santander Foundation. The authors also thank Aguas de Galicia and Consellería de Sanidade - Xunta de Galicia for their support and funding of this study. The IIM-CSIC group is also funded by projects 0474_BLUEBIOLAB from EU FEDER Program Interreg Spain-Portugal and IN607B 2019/01 from Consellería de Economía, Emprego e Industria (GAIN), Xunta de Galicia. MP acknowledges support from grant FJC2019-041397-I funded by MCIN/AEI/10.13039/501100011033 Funding for open access charge: Universidade de Vigo/CISUG | es_ES |
dc.description.sponsorship | Xunta de Galicia; IN607B 2019/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.scitotenv.2022.155140 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | SARS-CoV-2 | es_ES |
dc.subject | COVID-19 | es_ES |
dc.subject | Wastewater-based epidemiology | es_ES |
dc.subject | Virus variants | es_ES |
dc.subject | Viral load | es_ES |
dc.subject | Predictive model | es_ES |
dc.subject | Stochastic SIR model | es_ES |
dc.title | Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year study | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Science of The Total Environment | es_ES |
UDC.volume | 833 | es_ES |
UDC.startPage | 155140 | es_ES |
dc.identifier.doi | 10.1016/j.scitotenv.2022.155140 |
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