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2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023

BACKGROUND: Many wastewater-based surveillance (WBS) programs for COVID-19 sample from distal endpoints of sewage treatment systems (for example, sewage treatment plants). SARS-CoV-2 RNA measurements from these endpoints represent highly aggregated cross-sections from entire sewage systems, and are...

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Autores principales: Brown, Tyler, Rao, Sowmya R, Begemann, Daniel, Amaya, Flor, Keppard, Barry, Mohareb, Amir, Bates, Samantha, Alonso, Cristina, Jia, Katherine M, Levison, Julie H, Ryan, Edward T, LaRocque, Regina C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678349/
http://dx.doi.org/10.1093/ofid/ofad500.1908
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author Brown, Tyler
Rao, Sowmya R
Begemann, Daniel
Amaya, Flor
Keppard, Barry
Mohareb, Amir
Bates, Samantha
Alonso, Cristina
Jia, Katherine M
Levison, Julie H
Ryan, Edward T
LaRocque, Regina C
author_facet Brown, Tyler
Rao, Sowmya R
Begemann, Daniel
Amaya, Flor
Keppard, Barry
Mohareb, Amir
Bates, Samantha
Alonso, Cristina
Jia, Katherine M
Levison, Julie H
Ryan, Edward T
LaRocque, Regina C
author_sort Brown, Tyler
collection PubMed
description BACKGROUND: Many wastewater-based surveillance (WBS) programs for COVID-19 sample from distal endpoints of sewage treatment systems (for example, sewage treatment plants). SARS-CoV-2 RNA measurements from these endpoints represent highly aggregated cross-sections from entire sewage systems, and are inherently unable to capture local variation in COVID-19 disease activity. Importantly, using highly aggregated samples from sewage system endpoints may limit the utility of SARS-CoV-2 RNA measurements as a leading indicator for forecasting applications. Geographically-focused, hyperlocal sampling in communities with more intense and/or earlier COVID-19 epidemic activity is a promising strategy for enhancing the public health value of WBS. Chelsea versus Boston-wide SARS-CoV-2 wastewater RNA concentration over time [Figure: see text] METHODS: We examined SARS-CoV-2 RNA data in Chelsea, Massachusetts, a Boston-area community that has experienced disproportionately high COVID-19 disease burden across all phases of the epidemic thus far. Between November 2020 and April 2023, we collected biweekly samples from four local sewershed locations in Chelsea, which were analyzed for SARS-CoV-2 RNA concentration by BioBot Analytics. We compared these local measurements to those for identically analyzed samples collected at a distal sewer system endpoint (Massachusetts Water Resource Authority Deer Island Treatment Plant), for the same time points over the same collection period. RESULTS: Local sewershed SARS-CoV-2 RNA concentrations in Chelsea were consistently higher across all three major epidemic phases (pre-Delta, Delta, and Omicron) analyzed in our dataset. During the onset of the Delta wave, SARS-CoV-2 RNA concentrations in Chelsea increased earlier than Boston-wide levels measured at the sewer system endpoint. CONCLUSION: Local wastewater sampling can facilitate pre-emptive and tailored public health responses to more effectively counter the burden of SARS-CoV-2 in disproportionately affected communities. Sampling in these “sentinel” communities may improve the utility of SARS-CoV-2 wastewater RNA concentrations as a leading indicator for COVID-19 forecasting applications. DISCLOSURES: Julie H. Levison, MD, MPhil, MPH, eMED, LLC.: Advisor/Consultant
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spelling pubmed-106783492023-11-27 2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023 Brown, Tyler Rao, Sowmya R Begemann, Daniel Amaya, Flor Keppard, Barry Mohareb, Amir Bates, Samantha Alonso, Cristina Jia, Katherine M Levison, Julie H Ryan, Edward T LaRocque, Regina C Open Forum Infect Dis Abstract BACKGROUND: Many wastewater-based surveillance (WBS) programs for COVID-19 sample from distal endpoints of sewage treatment systems (for example, sewage treatment plants). SARS-CoV-2 RNA measurements from these endpoints represent highly aggregated cross-sections from entire sewage systems, and are inherently unable to capture local variation in COVID-19 disease activity. Importantly, using highly aggregated samples from sewage system endpoints may limit the utility of SARS-CoV-2 RNA measurements as a leading indicator for forecasting applications. Geographically-focused, hyperlocal sampling in communities with more intense and/or earlier COVID-19 epidemic activity is a promising strategy for enhancing the public health value of WBS. Chelsea versus Boston-wide SARS-CoV-2 wastewater RNA concentration over time [Figure: see text] METHODS: We examined SARS-CoV-2 RNA data in Chelsea, Massachusetts, a Boston-area community that has experienced disproportionately high COVID-19 disease burden across all phases of the epidemic thus far. Between November 2020 and April 2023, we collected biweekly samples from four local sewershed locations in Chelsea, which were analyzed for SARS-CoV-2 RNA concentration by BioBot Analytics. We compared these local measurements to those for identically analyzed samples collected at a distal sewer system endpoint (Massachusetts Water Resource Authority Deer Island Treatment Plant), for the same time points over the same collection period. RESULTS: Local sewershed SARS-CoV-2 RNA concentrations in Chelsea were consistently higher across all three major epidemic phases (pre-Delta, Delta, and Omicron) analyzed in our dataset. During the onset of the Delta wave, SARS-CoV-2 RNA concentrations in Chelsea increased earlier than Boston-wide levels measured at the sewer system endpoint. CONCLUSION: Local wastewater sampling can facilitate pre-emptive and tailored public health responses to more effectively counter the burden of SARS-CoV-2 in disproportionately affected communities. Sampling in these “sentinel” communities may improve the utility of SARS-CoV-2 wastewater RNA concentrations as a leading indicator for COVID-19 forecasting applications. DISCLOSURES: Julie H. Levison, MD, MPhil, MPH, eMED, LLC.: Advisor/Consultant Oxford University Press 2023-11-27 /pmc/articles/PMC10678349/ http://dx.doi.org/10.1093/ofid/ofad500.1908 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Brown, Tyler
Rao, Sowmya R
Begemann, Daniel
Amaya, Flor
Keppard, Barry
Mohareb, Amir
Bates, Samantha
Alonso, Cristina
Jia, Katherine M
Levison, Julie H
Ryan, Edward T
LaRocque, Regina C
2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023
title 2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023
title_full 2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023
title_fullStr 2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023
title_full_unstemmed 2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023
title_short 2286. A comparison of SARS-CoV-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in Massachusetts, 2020-2023
title_sort 2286. a comparison of sars-cov-2 wastewater-based surveillance in a sentinel community versus a large metropolitan sewershed in massachusetts, 2020-2023
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678349/
http://dx.doi.org/10.1093/ofid/ofad500.1908
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