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Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications
Wastewater-based epidemiology (WBE) is successful in the detection of the spread of SARS-CoV-2. This review examines the methods used and results of recent studies on the quantification of SARS-CoV-2 in wastewater. WBE becomes essential, especially with virus transmission path uncertainty, limitatio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648500/ https://www.ncbi.nlm.nih.gov/pubmed/33190883 http://dx.doi.org/10.1016/j.scitotenv.2020.143493 |
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author | Hamouda, Mohamed Mustafa, Farah Maraqa, Munjed Rizvi, Tahir Aly Hassan, Ashraf |
author_facet | Hamouda, Mohamed Mustafa, Farah Maraqa, Munjed Rizvi, Tahir Aly Hassan, Ashraf |
author_sort | Hamouda, Mohamed |
collection | PubMed |
description | Wastewater-based epidemiology (WBE) is successful in the detection of the spread of SARS-CoV-2. This review examines the methods used and results of recent studies on the quantification of SARS-CoV-2 in wastewater. WBE becomes essential, especially with virus transmission path uncertainty, limitations on the number of clinical tests that could be conducted, and a relatively long period for infected people to show symptoms. Wastewater surveillance was used to show the effect of lockdown on the virus spread. A WBE framework tailored for SARS-CoV-2 that incorporates lessons learnt from the reviewed studies was developed. Results of the review helped outline challenges facing the detection of SARS-CoV-2 in wastewater samples. A comparison between the various studies with regards to sample concentration and virus quantification was conducted. Five different primers sets were used for qPCR quantification; however, due to limited data availability, there is no consensus on the most sensitive primer. Correlating the slope of the relationship between the number of gene copies vs. the cumulative number of infections normalized to the total population served with the average new cases, suggests that qPCR results could help estimating the number of new infections. The correlation is improved when a lag period was introduced to account for asymptomatic infections. Based on lessons learnt from recent studies, it is recommended that future applications should consider the following: 1) ensuring occupational safety in managing sewage collection and processing, 2) evaluating the effectiveness of greywater disinfection, 3) measuring viral RNA decay due to biological and chemical activities during collection and treatment, 4) assessing the effectiveness of digital PCR, and 5) conducting large scale international studies that follow standardized protocols. |
format | Online Article Text |
id | pubmed-7648500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76485002020-11-09 Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications Hamouda, Mohamed Mustafa, Farah Maraqa, Munjed Rizvi, Tahir Aly Hassan, Ashraf Sci Total Environ Review Wastewater-based epidemiology (WBE) is successful in the detection of the spread of SARS-CoV-2. This review examines the methods used and results of recent studies on the quantification of SARS-CoV-2 in wastewater. WBE becomes essential, especially with virus transmission path uncertainty, limitations on the number of clinical tests that could be conducted, and a relatively long period for infected people to show symptoms. Wastewater surveillance was used to show the effect of lockdown on the virus spread. A WBE framework tailored for SARS-CoV-2 that incorporates lessons learnt from the reviewed studies was developed. Results of the review helped outline challenges facing the detection of SARS-CoV-2 in wastewater samples. A comparison between the various studies with regards to sample concentration and virus quantification was conducted. Five different primers sets were used for qPCR quantification; however, due to limited data availability, there is no consensus on the most sensitive primer. Correlating the slope of the relationship between the number of gene copies vs. the cumulative number of infections normalized to the total population served with the average new cases, suggests that qPCR results could help estimating the number of new infections. The correlation is improved when a lag period was introduced to account for asymptomatic infections. Based on lessons learnt from recent studies, it is recommended that future applications should consider the following: 1) ensuring occupational safety in managing sewage collection and processing, 2) evaluating the effectiveness of greywater disinfection, 3) measuring viral RNA decay due to biological and chemical activities during collection and treatment, 4) assessing the effectiveness of digital PCR, and 5) conducting large scale international studies that follow standardized protocols. Elsevier B.V. 2021-03-10 2020-11-07 /pmc/articles/PMC7648500/ /pubmed/33190883 http://dx.doi.org/10.1016/j.scitotenv.2020.143493 Text en © 2020 Elsevier B.V. All rights reserved. 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 | Review Hamouda, Mohamed Mustafa, Farah Maraqa, Munjed Rizvi, Tahir Aly Hassan, Ashraf Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications |
title | Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications |
title_full | Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications |
title_fullStr | Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications |
title_full_unstemmed | Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications |
title_short | Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications |
title_sort | wastewater surveillance for sars-cov-2: lessons learnt from recent studies to define future applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648500/ https://www.ncbi.nlm.nih.gov/pubmed/33190883 http://dx.doi.org/10.1016/j.scitotenv.2020.143493 |
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