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SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study

COVID-19 pandemic is ongoing for more than a year and has changed priorities and boosted some WBE studies. The aim of this work is to contributed to our knowledge sharing the methodology developed for SARS-CoV-2 detection in wastewater of Madrid region of over six million and a half inhabitants, whe...

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Autores principales: Lastra, Antonio, Botello, Jaime, Pinilla, Alejandro, Urrutia, Joseba Iñaki, Canora, Jesús, Sánchez, Juan, Fernández, Pascual, Candel, Francisco Javier, Zapatero, Antonio, Ortega, Mónica, Flores, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342901/
https://www.ncbi.nlm.nih.gov/pubmed/34364862
http://dx.doi.org/10.1016/j.envres.2021.111852
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author Lastra, Antonio
Botello, Jaime
Pinilla, Alejandro
Urrutia, Joseba Iñaki
Canora, Jesús
Sánchez, Juan
Fernández, Pascual
Candel, Francisco Javier
Zapatero, Antonio
Ortega, Mónica
Flores, Jaime
author_facet Lastra, Antonio
Botello, Jaime
Pinilla, Alejandro
Urrutia, Joseba Iñaki
Canora, Jesús
Sánchez, Juan
Fernández, Pascual
Candel, Francisco Javier
Zapatero, Antonio
Ortega, Mónica
Flores, Jaime
author_sort Lastra, Antonio
collection PubMed
description COVID-19 pandemic is ongoing for more than a year and has changed priorities and boosted some WBE studies. The aim of this work is to contributed to our knowledge sharing the methodology developed for SARS-CoV-2 detection in wastewater of Madrid region of over six million and a half inhabitants, where the sewer system is a combined system. At first, a pilot test in a small metropolitan area was carried out in order to define the criteria for the selection of the sampling points to be applied to the entire region. Methodologys for laboratory analysis and statistical analysis and interpretation of data are also presented. This work relies highly on fieldwork, so sewer network safe accessibility is paramount. A total of 289 sampling points were weekly characterised. Each sampling point represents a sewershed, some of them in a cascade distribution. Samples are tested for SARS-CoV-2 concentration (gc/L, genome copies per litre) and physicochemical parameters are also analysed to validate or discard what at first could be an unusual virus presence. Field results are correlated with health indicators such as incidence rates and hospitalisation data. This information is daily shared with regional health authorities, disaggregated by municipalities, or aggregated for the entire Madrid region. Results have proved to anticipate health indicators. The tool is used as an early warning indicator for COVID-19 pandemic. Further work is planned to apply the current scheme for a permanent epidemiological surveillance system of 87 sampling points to pinpoint infection hotspots and activate the linked sewersheds in the event of an outbreak.
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spelling pubmed-83429012021-08-06 SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study Lastra, Antonio Botello, Jaime Pinilla, Alejandro Urrutia, Joseba Iñaki Canora, Jesús Sánchez, Juan Fernández, Pascual Candel, Francisco Javier Zapatero, Antonio Ortega, Mónica Flores, Jaime Environ Res Article COVID-19 pandemic is ongoing for more than a year and has changed priorities and boosted some WBE studies. The aim of this work is to contributed to our knowledge sharing the methodology developed for SARS-CoV-2 detection in wastewater of Madrid region of over six million and a half inhabitants, where the sewer system is a combined system. At first, a pilot test in a small metropolitan area was carried out in order to define the criteria for the selection of the sampling points to be applied to the entire region. Methodologys for laboratory analysis and statistical analysis and interpretation of data are also presented. This work relies highly on fieldwork, so sewer network safe accessibility is paramount. A total of 289 sampling points were weekly characterised. Each sampling point represents a sewershed, some of them in a cascade distribution. Samples are tested for SARS-CoV-2 concentration (gc/L, genome copies per litre) and physicochemical parameters are also analysed to validate or discard what at first could be an unusual virus presence. Field results are correlated with health indicators such as incidence rates and hospitalisation data. This information is daily shared with regional health authorities, disaggregated by municipalities, or aggregated for the entire Madrid region. Results have proved to anticipate health indicators. The tool is used as an early warning indicator for COVID-19 pandemic. Further work is planned to apply the current scheme for a permanent epidemiological surveillance system of 87 sampling points to pinpoint infection hotspots and activate the linked sewersheds in the event of an outbreak. Published by Elsevier Inc. 2022-01 2021-08-06 /pmc/articles/PMC8342901/ /pubmed/34364862 http://dx.doi.org/10.1016/j.envres.2021.111852 Text en © 2021 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Lastra, Antonio
Botello, Jaime
Pinilla, Alejandro
Urrutia, Joseba Iñaki
Canora, Jesús
Sánchez, Juan
Fernández, Pascual
Candel, Francisco Javier
Zapatero, Antonio
Ortega, Mónica
Flores, Jaime
SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study
title SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study
title_full SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study
title_fullStr SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study
title_full_unstemmed SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study
title_short SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study
title_sort sars-cov-2 detection in wastewater as an early warning indicator for covid-19 pandemic. madrid region case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342901/
https://www.ncbi.nlm.nih.gov/pubmed/34364862
http://dx.doi.org/10.1016/j.envres.2021.111852
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