Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus

Wastewater-based epidemiology (WBE) has a long history of identifying a variety of viruses from poliovirus to coronaviruses, including novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The presence and detection of SARS-CoV-2 in human feces and its passage into the water bodies are...

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Published in:Pathogens
Main Authors: Mousazadeh, Milad, Ashoori, Razieh, Paital, Biswaranjan, Kabdaşlı, Işık, Frontistis, Zacharias, Hashemi, Marjan, Sandoval, Miguel A., Sherchan, Samendra, Das, Kabita, Emamjomeh, Mohammad Mahdi
Format: Text
Language:English
Published: MDPI 2021
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401392/
http://www.ncbi.nlm.nih.gov/pubmed/34451472
https://doi.org/10.3390/pathogens10081008
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8401392 2023-05-15T13:57:19+02:00 Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus Mousazadeh, Milad Ashoori, Razieh Paital, Biswaranjan Kabdaşlı, Işık Frontistis, Zacharias Hashemi, Marjan Sandoval, Miguel A. Sherchan, Samendra Das, Kabita Emamjomeh, Mohammad Mahdi 2021-08-10 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401392/ http://www.ncbi.nlm.nih.gov/pubmed/34451472 https://doi.org/10.3390/pathogens10081008 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401392/ http://www.ncbi.nlm.nih.gov/pubmed/34451472 http://dx.doi.org/10.3390/pathogens10081008 © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). CC-BY Pathogens Review Text 2021 ftpubmed https://doi.org/10.3390/pathogens10081008 2021-09-05T01:00:33Z Wastewater-based epidemiology (WBE) has a long history of identifying a variety of viruses from poliovirus to coronaviruses, including novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The presence and detection of SARS-CoV-2 in human feces and its passage into the water bodies are significant public health challenges. Hence, the hot issue of WBE of SARS-CoV-2 in the coronavirus respiratory disease (COVID-19) pandemic is a matter of utmost importance (e.g., SARS-CoV-1). The present review discusses the background, state of the art, actual status, and prospects of WBE, as well as the detection and quantification protocols of SARS-CoV-2 in wastewater. The SARS-CoV-2 detection studies have been performed in different water matrixes such as influent and effluent of wastewater treatment plants, suburban pumping stations, hospital wastewater, and sewer networks around the globe except for Antarctica. The findings revealed that all WBE studies were in accordance with clinical and epidemiological data, which correlates the presence of SARS-CoV-2 ribonucleic acid (RNA) with the number of new daily positive cases officially reported. This last was confirmed via Reverse Transcriptase-quantitative Polymerase Chain Reaction (RT-qPCR) testing which unfortunately is not suitable for real-time surveillance. In addition, WBE concept may act as a faster protocol to alert the public health authorities to take administrative orders (possible re-emerging infections) due to the impracticality of testing all citizens in a short time with limited diagnostic facilities. A comprehensive and integrated review covering all steps starting from sampling to molecular detection of SARS-CoV-2 in wastewater has been made to guide for the development well-defined and reliable protocols. Text Antarc* Antarctica PubMed Central (PMC) Pathogens 10 8 1008
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Review
spellingShingle Review
Mousazadeh, Milad
Ashoori, Razieh
Paital, Biswaranjan
Kabdaşlı, Işık
Frontistis, Zacharias
Hashemi, Marjan
Sandoval, Miguel A.
Sherchan, Samendra
Das, Kabita
Emamjomeh, Mohammad Mahdi
Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus
topic_facet Review
description Wastewater-based epidemiology (WBE) has a long history of identifying a variety of viruses from poliovirus to coronaviruses, including novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The presence and detection of SARS-CoV-2 in human feces and its passage into the water bodies are significant public health challenges. Hence, the hot issue of WBE of SARS-CoV-2 in the coronavirus respiratory disease (COVID-19) pandemic is a matter of utmost importance (e.g., SARS-CoV-1). The present review discusses the background, state of the art, actual status, and prospects of WBE, as well as the detection and quantification protocols of SARS-CoV-2 in wastewater. The SARS-CoV-2 detection studies have been performed in different water matrixes such as influent and effluent of wastewater treatment plants, suburban pumping stations, hospital wastewater, and sewer networks around the globe except for Antarctica. The findings revealed that all WBE studies were in accordance with clinical and epidemiological data, which correlates the presence of SARS-CoV-2 ribonucleic acid (RNA) with the number of new daily positive cases officially reported. This last was confirmed via Reverse Transcriptase-quantitative Polymerase Chain Reaction (RT-qPCR) testing which unfortunately is not suitable for real-time surveillance. In addition, WBE concept may act as a faster protocol to alert the public health authorities to take administrative orders (possible re-emerging infections) due to the impracticality of testing all citizens in a short time with limited diagnostic facilities. A comprehensive and integrated review covering all steps starting from sampling to molecular detection of SARS-CoV-2 in wastewater has been made to guide for the development well-defined and reliable protocols.
format Text
author Mousazadeh, Milad
Ashoori, Razieh
Paital, Biswaranjan
Kabdaşlı, Işık
Frontistis, Zacharias
Hashemi, Marjan
Sandoval, Miguel A.
Sherchan, Samendra
Das, Kabita
Emamjomeh, Mohammad Mahdi
author_facet Mousazadeh, Milad
Ashoori, Razieh
Paital, Biswaranjan
Kabdaşlı, Işık
Frontistis, Zacharias
Hashemi, Marjan
Sandoval, Miguel A.
Sherchan, Samendra
Das, Kabita
Emamjomeh, Mohammad Mahdi
author_sort Mousazadeh, Milad
title Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus
title_short Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus
title_full Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus
title_fullStr Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus
title_full_unstemmed Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus
title_sort wastewater based epidemiology perspective as a faster protocol for detecting coronavirus rna in human populations: a review with specific reference to sars-cov-2 virus
publisher MDPI
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401392/
http://www.ncbi.nlm.nih.gov/pubmed/34451472
https://doi.org/10.3390/pathogens10081008
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http://www.ncbi.nlm.nih.gov/pubmed/34451472
http://dx.doi.org/10.3390/pathogens10081008
op_rights © 2021 by the authors.
https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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