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Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden
A decline in diagnostic testing for SARS-CoV-2 is expected to delay the tracking of COVID-19 variants of concern and interest in the United States. We hypothesize that wastewater surveillance programs provide an effective alternative for detecting emerging variants and assessing COVID-19 incidence,...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026949/ https://www.ncbi.nlm.nih.gov/pubmed/35469875 http://dx.doi.org/10.1016/j.scitotenv.2022.155410 |
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author | Vo, Van Tillett, Richard L. Papp, Katerina Shen, Shirley Gu, Richard Gorzalski, Andrew Siao, Danielle Markland, Rayma Chang, Ching-Lan Baker, Hayley Chen, Jingchun Schiller, Martin Betancourt, Walter Q. Buttery, Erin Pandori, Mark Picker, Michael A. Gerrity, Daniel Oh, Edwin C. |
author_facet | Vo, Van Tillett, Richard L. Papp, Katerina Shen, Shirley Gu, Richard Gorzalski, Andrew Siao, Danielle Markland, Rayma Chang, Ching-Lan Baker, Hayley Chen, Jingchun Schiller, Martin Betancourt, Walter Q. Buttery, Erin Pandori, Mark Picker, Michael A. Gerrity, Daniel Oh, Edwin C. |
author_sort | Vo, Van |
collection | PubMed |
description | A decline in diagnostic testing for SARS-CoV-2 is expected to delay the tracking of COVID-19 variants of concern and interest in the United States. We hypothesize that wastewater surveillance programs provide an effective alternative for detecting emerging variants and assessing COVID-19 incidence, particularly when clinical surveillance is limited. Here, we analyzed SARS-CoV-2 RNA in wastewater from eight locations across Southern Nevada between March 2020 and April 2021. Trends in SARS-CoV-2 RNA concentrations (ranging from 4.3 log(10) gc/L to 8.7 log(10) gc/L) matched trends in confirmed COVID-19 incidence, but wastewater surveillance also highlighted several limitations with the clinical data. Amplicon-based whole genome sequencing (WGS) of 86 wastewater samples identified the B.1.1.7 (Alpha) and B.1.429 (Epsilon) lineages in December 2020, but clinical sequencing failed to identify the variants until January 2021, thereby demonstrating that ‘pooled’ wastewater samples can sometimes expedite variant detection. Also, by calibrating fecal shedding (11.4 log(10) gc/infection) and wastewater surveillance data to reported seroprevalence, we estimate that ~38% of individuals in Southern Nevada had been infected by SARS-CoV-2 as of April 2021, which is significantly higher than the 10% of individuals confirmed through clinical testing. Sewershed-specific ascertainment ratios (i.e., X-fold infection undercounts) ranged from 1.0 to 7.7, potentially due to demographic differences. Our data underscore the growing application of wastewater surveillance in not only the identification and quantification of infectious agents, but also the detection of variants of concern that may be missed when diagnostic testing is limited or unavailable. |
format | Online Article Text |
id | pubmed-9026949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90269492022-04-22 Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden Vo, Van Tillett, Richard L. Papp, Katerina Shen, Shirley Gu, Richard Gorzalski, Andrew Siao, Danielle Markland, Rayma Chang, Ching-Lan Baker, Hayley Chen, Jingchun Schiller, Martin Betancourt, Walter Q. Buttery, Erin Pandori, Mark Picker, Michael A. Gerrity, Daniel Oh, Edwin C. Sci Total Environ Article A decline in diagnostic testing for SARS-CoV-2 is expected to delay the tracking of COVID-19 variants of concern and interest in the United States. We hypothesize that wastewater surveillance programs provide an effective alternative for detecting emerging variants and assessing COVID-19 incidence, particularly when clinical surveillance is limited. Here, we analyzed SARS-CoV-2 RNA in wastewater from eight locations across Southern Nevada between March 2020 and April 2021. Trends in SARS-CoV-2 RNA concentrations (ranging from 4.3 log(10) gc/L to 8.7 log(10) gc/L) matched trends in confirmed COVID-19 incidence, but wastewater surveillance also highlighted several limitations with the clinical data. Amplicon-based whole genome sequencing (WGS) of 86 wastewater samples identified the B.1.1.7 (Alpha) and B.1.429 (Epsilon) lineages in December 2020, but clinical sequencing failed to identify the variants until January 2021, thereby demonstrating that ‘pooled’ wastewater samples can sometimes expedite variant detection. Also, by calibrating fecal shedding (11.4 log(10) gc/infection) and wastewater surveillance data to reported seroprevalence, we estimate that ~38% of individuals in Southern Nevada had been infected by SARS-CoV-2 as of April 2021, which is significantly higher than the 10% of individuals confirmed through clinical testing. Sewershed-specific ascertainment ratios (i.e., X-fold infection undercounts) ranged from 1.0 to 7.7, potentially due to demographic differences. Our data underscore the growing application of wastewater surveillance in not only the identification and quantification of infectious agents, but also the detection of variants of concern that may be missed when diagnostic testing is limited or unavailable. The Authors. Published by Elsevier B.V. 2022-08-20 2022-04-22 /pmc/articles/PMC9026949/ /pubmed/35469875 http://dx.doi.org/10.1016/j.scitotenv.2022.155410 Text en © 2022 The Authors 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 Vo, Van Tillett, Richard L. Papp, Katerina Shen, Shirley Gu, Richard Gorzalski, Andrew Siao, Danielle Markland, Rayma Chang, Ching-Lan Baker, Hayley Chen, Jingchun Schiller, Martin Betancourt, Walter Q. Buttery, Erin Pandori, Mark Picker, Michael A. Gerrity, Daniel Oh, Edwin C. Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden |
title | Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden |
title_full | Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden |
title_fullStr | Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden |
title_full_unstemmed | Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden |
title_short | Use of wastewater surveillance for early detection of Alpha and Epsilon SARS-CoV-2 variants of concern and estimation of overall COVID-19 infection burden |
title_sort | use of wastewater surveillance for early detection of alpha and epsilon sars-cov-2 variants of concern and estimation of overall covid-19 infection burden |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026949/ https://www.ncbi.nlm.nih.gov/pubmed/35469875 http://dx.doi.org/10.1016/j.scitotenv.2022.155410 |
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