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Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19
Wastewater-based surveillance is a valuable approach for monitoring COVID-19 at community level. Monitoring SARS-CoV-2 variants of concern (VOC) in wastewater has become increasingly relevant when clinical testing capacity and case-based surveillance are limited. In this study, we ascertained the tu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408568/ https://www.ncbi.nlm.nih.gov/pubmed/37409382 http://dx.doi.org/10.1080/22221751.2023.2233638 |
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author | Hasing, Maria E. Lee, Bonita E. Gao, Tiejun Li, Qiaozhi Qiu, Yuanyuan Ellehoj, Erik Graber, Tyson E. Fuzzen, Meghan Servos, Mark Landgraff, Chrystal Delatolla, Robert Tipples, Graham Zelyas, Nathan Hinshaw, Deena Maal-Bared, Rasha Sikora, Christopher Parkins, Michael Hubert, Casey R. J. Frankowski, Kevin Hrudey, Steve E. Pang, Xiaoli L. |
author_facet | Hasing, Maria E. Lee, Bonita E. Gao, Tiejun Li, Qiaozhi Qiu, Yuanyuan Ellehoj, Erik Graber, Tyson E. Fuzzen, Meghan Servos, Mark Landgraff, Chrystal Delatolla, Robert Tipples, Graham Zelyas, Nathan Hinshaw, Deena Maal-Bared, Rasha Sikora, Christopher Parkins, Michael Hubert, Casey R. J. Frankowski, Kevin Hrudey, Steve E. Pang, Xiaoli L. |
author_sort | Hasing, Maria E. |
collection | PubMed |
description | Wastewater-based surveillance is a valuable approach for monitoring COVID-19 at community level. Monitoring SARS-CoV-2 variants of concern (VOC) in wastewater has become increasingly relevant when clinical testing capacity and case-based surveillance are limited. In this study, we ascertained the turnover of six VOC in Alberta wastewater from May 2020 to May 2022. Wastewater samples from nine wastewater treatment plants across Alberta were analysed using VOC-specific RT-qPCR assays. The performance of the RT-qPCR assays in identifying VOC in wastewater was evaluated against next generation sequencing. The relative abundance of each VOC in wastewater was compared to positivity rate in COVID-19 testing. VOC-specific RT-qPCR assays performed comparatively well against next generation sequencing; concordance rates ranged from 89% to 98% for detection of Alpha, Beta, Gamma, Omicron BA.1 and Omicron BA.2, with a slightly lower rate of 85% for Delta (p < 0.01). Elevated relative abundance of Alpha, Delta, Omicron BA.1 and BA.2 were each associated with increased COVID-19 positivity rate. Alpha, Delta and Omicron BA.2 reached 90% relative abundance in wastewater within 80, 111 and 62 days after their initial detection, respectively. Omicron BA.1 increased more rapidly, reaching a 90% relative abundance in wastewater after 35 days. Our results from VOC surveillance in wastewater correspond with clinical observations that Omicron is the VOC with highest disease burden over the shortest period in Alberta to date. The findings suggest that changes in relative abundance of a VOC in wastewater can be used as a supplementary indicator to track and perhaps predict COVID-19 burden in a population. |
format | Online Article Text |
id | pubmed-10408568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-104085682023-08-09 Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 Hasing, Maria E. Lee, Bonita E. Gao, Tiejun Li, Qiaozhi Qiu, Yuanyuan Ellehoj, Erik Graber, Tyson E. Fuzzen, Meghan Servos, Mark Landgraff, Chrystal Delatolla, Robert Tipples, Graham Zelyas, Nathan Hinshaw, Deena Maal-Bared, Rasha Sikora, Christopher Parkins, Michael Hubert, Casey R. J. Frankowski, Kevin Hrudey, Steve E. Pang, Xiaoli L. Emerg Microbes Infect Coronaviruses Wastewater-based surveillance is a valuable approach for monitoring COVID-19 at community level. Monitoring SARS-CoV-2 variants of concern (VOC) in wastewater has become increasingly relevant when clinical testing capacity and case-based surveillance are limited. In this study, we ascertained the turnover of six VOC in Alberta wastewater from May 2020 to May 2022. Wastewater samples from nine wastewater treatment plants across Alberta were analysed using VOC-specific RT-qPCR assays. The performance of the RT-qPCR assays in identifying VOC in wastewater was evaluated against next generation sequencing. The relative abundance of each VOC in wastewater was compared to positivity rate in COVID-19 testing. VOC-specific RT-qPCR assays performed comparatively well against next generation sequencing; concordance rates ranged from 89% to 98% for detection of Alpha, Beta, Gamma, Omicron BA.1 and Omicron BA.2, with a slightly lower rate of 85% for Delta (p < 0.01). Elevated relative abundance of Alpha, Delta, Omicron BA.1 and BA.2 were each associated with increased COVID-19 positivity rate. Alpha, Delta and Omicron BA.2 reached 90% relative abundance in wastewater within 80, 111 and 62 days after their initial detection, respectively. Omicron BA.1 increased more rapidly, reaching a 90% relative abundance in wastewater after 35 days. Our results from VOC surveillance in wastewater correspond with clinical observations that Omicron is the VOC with highest disease burden over the shortest period in Alberta to date. The findings suggest that changes in relative abundance of a VOC in wastewater can be used as a supplementary indicator to track and perhaps predict COVID-19 burden in a population. Taylor & Francis 2023-08-07 /pmc/articles/PMC10408568/ /pubmed/37409382 http://dx.doi.org/10.1080/22221751.2023.2233638 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Coronaviruses Hasing, Maria E. Lee, Bonita E. Gao, Tiejun Li, Qiaozhi Qiu, Yuanyuan Ellehoj, Erik Graber, Tyson E. Fuzzen, Meghan Servos, Mark Landgraff, Chrystal Delatolla, Robert Tipples, Graham Zelyas, Nathan Hinshaw, Deena Maal-Bared, Rasha Sikora, Christopher Parkins, Michael Hubert, Casey R. J. Frankowski, Kevin Hrudey, Steve E. Pang, Xiaoli L. Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 |
title | Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 |
title_full | Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 |
title_fullStr | Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 |
title_full_unstemmed | Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 |
title_short | Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19 |
title_sort | wastewater surveillance monitoring of sars-cov-2 variants of concern and dynamics of transmission and community burden of covid-19 |
topic | Coronaviruses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408568/ https://www.ncbi.nlm.nih.gov/pubmed/37409382 http://dx.doi.org/10.1080/22221751.2023.2233638 |
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