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Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an RNA virus, a member of the coronavirus family of respiratory viruses that includes severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and the Middle East respiratory syndrome (MERS). It has had an acute and dramatic impact...

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Autores principales: Bar-Or, Itay, Yaniv, Karin, Shagan, Marilou, Ozer, Eden, Weil, Merav, Indenbaum, Victoria, Elul, Michal, Erster, Oran, Mendelson, Ella, Mannasse, Batya, Shirazi, Rachel, Kramarsky-Winter, Esti, Nir, Oded, Abu-Ali, Hala, Ronen, Zeev, Rinott, Ehud, Lewis, Yair E., Friedler, Eran, Bitkover, Eden, Paitan, Yossi, Berchenko, Yakir, Kushmaro, Ariel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762221/
https://www.ncbi.nlm.nih.gov/pubmed/35047467
http://dx.doi.org/10.3389/fpubh.2021.561710
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author Bar-Or, Itay
Yaniv, Karin
Shagan, Marilou
Ozer, Eden
Weil, Merav
Indenbaum, Victoria
Elul, Michal
Erster, Oran
Mendelson, Ella
Mannasse, Batya
Shirazi, Rachel
Kramarsky-Winter, Esti
Nir, Oded
Abu-Ali, Hala
Ronen, Zeev
Rinott, Ehud
Lewis, Yair E.
Friedler, Eran
Bitkover, Eden
Paitan, Yossi
Berchenko, Yakir
Kushmaro, Ariel
author_facet Bar-Or, Itay
Yaniv, Karin
Shagan, Marilou
Ozer, Eden
Weil, Merav
Indenbaum, Victoria
Elul, Michal
Erster, Oran
Mendelson, Ella
Mannasse, Batya
Shirazi, Rachel
Kramarsky-Winter, Esti
Nir, Oded
Abu-Ali, Hala
Ronen, Zeev
Rinott, Ehud
Lewis, Yair E.
Friedler, Eran
Bitkover, Eden
Paitan, Yossi
Berchenko, Yakir
Kushmaro, Ariel
author_sort Bar-Or, Itay
collection PubMed
description Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an RNA virus, a member of the coronavirus family of respiratory viruses that includes severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and the Middle East respiratory syndrome (MERS). It has had an acute and dramatic impact on health care systems, economies, and societies of affected countries during the past 8 months. Widespread testing and tracing efforts are being employed in many countries in attempts to contain and mitigate this pandemic. Recent data has indicated that fecal shedding of SARS-CoV-2 is common and that the virus RNA can be detected in wastewater. This indicates that wastewater monitoring may provide a potentially efficient tool for the epidemiological surveillance of SARS-CoV-2 infection in large populations at relevant scales. In particular, this provides important means of (i) estimating the extent of outbreaks and their spatial distributions, based primarily on in-sewer measurements, (ii) managing the early-warning system quantitatively and efficiently, and (iii) verifying disease elimination. Here we report different virus concentration methods using polyethylene glycol (PEG), alum, or filtration techniques as well as different RNA extraction methodologies, providing important insights regarding the detection of SARS-CoV-2 RNA in sewage. Virus RNA particles were detected in wastewater in several geographic locations in Israel. In addition, a correlation of virus RNA concentration to morbidity was detected in Bnei-Barak city during April 2020. This study presents a proof of concept for the use of direct raw sewage-associated virus data, during the pandemic in the country as a potential epidemiological tool.
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spelling pubmed-87622212022-01-18 Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance Bar-Or, Itay Yaniv, Karin Shagan, Marilou Ozer, Eden Weil, Merav Indenbaum, Victoria Elul, Michal Erster, Oran Mendelson, Ella Mannasse, Batya Shirazi, Rachel Kramarsky-Winter, Esti Nir, Oded Abu-Ali, Hala Ronen, Zeev Rinott, Ehud Lewis, Yair E. Friedler, Eran Bitkover, Eden Paitan, Yossi Berchenko, Yakir Kushmaro, Ariel Front Public Health Public Health Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an RNA virus, a member of the coronavirus family of respiratory viruses that includes severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and the Middle East respiratory syndrome (MERS). It has had an acute and dramatic impact on health care systems, economies, and societies of affected countries during the past 8 months. Widespread testing and tracing efforts are being employed in many countries in attempts to contain and mitigate this pandemic. Recent data has indicated that fecal shedding of SARS-CoV-2 is common and that the virus RNA can be detected in wastewater. This indicates that wastewater monitoring may provide a potentially efficient tool for the epidemiological surveillance of SARS-CoV-2 infection in large populations at relevant scales. In particular, this provides important means of (i) estimating the extent of outbreaks and their spatial distributions, based primarily on in-sewer measurements, (ii) managing the early-warning system quantitatively and efficiently, and (iii) verifying disease elimination. Here we report different virus concentration methods using polyethylene glycol (PEG), alum, or filtration techniques as well as different RNA extraction methodologies, providing important insights regarding the detection of SARS-CoV-2 RNA in sewage. Virus RNA particles were detected in wastewater in several geographic locations in Israel. In addition, a correlation of virus RNA concentration to morbidity was detected in Bnei-Barak city during April 2020. This study presents a proof of concept for the use of direct raw sewage-associated virus data, during the pandemic in the country as a potential epidemiological tool. Frontiers Media S.A. 2022-01-03 /pmc/articles/PMC8762221/ /pubmed/35047467 http://dx.doi.org/10.3389/fpubh.2021.561710 Text en Copyright © 2022 Bar-Or, Yaniv, Shagan, Ozer, Weil, Indenbaum, Elul, Erster, Mendelson, Mannasse, Shirazi, Kramarsky-Winter, Nir, Abu-Ali, Ronen, Rinott, Lewis, Friedler, Bitkover, Paitan, Berchenko and Kushmaro. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Bar-Or, Itay
Yaniv, Karin
Shagan, Marilou
Ozer, Eden
Weil, Merav
Indenbaum, Victoria
Elul, Michal
Erster, Oran
Mendelson, Ella
Mannasse, Batya
Shirazi, Rachel
Kramarsky-Winter, Esti
Nir, Oded
Abu-Ali, Hala
Ronen, Zeev
Rinott, Ehud
Lewis, Yair E.
Friedler, Eran
Bitkover, Eden
Paitan, Yossi
Berchenko, Yakir
Kushmaro, Ariel
Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance
title Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance
title_full Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance
title_fullStr Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance
title_full_unstemmed Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance
title_short Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance
title_sort regressing sars-cov-2 sewage measurements onto covid-19 burden in the population: a proof-of-concept for quantitative environmental surveillance
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762221/
https://www.ncbi.nlm.nih.gov/pubmed/35047467
http://dx.doi.org/10.3389/fpubh.2021.561710
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