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Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities
During the COVID-19 pandemic, wastewater-based surveillance has been shown to be a useful tool for monitoring the spread of disease in communities and the emergence of new viral variants of concern. As the pandemic enters its fourth year and clinical testing has declined, wastewater offers a consist...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399835/ https://www.ncbi.nlm.nih.gov/pubmed/37535602 http://dx.doi.org/10.1371/journal.pone.0289343 |
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author | Flood, Matthew T. Sharp, Josh Bruggink, Jennifer Cormier, Molly Gomes, Bailey Oldani, Isabella Zimmy, Lauren Rose, Joan B. |
author_facet | Flood, Matthew T. Sharp, Josh Bruggink, Jennifer Cormier, Molly Gomes, Bailey Oldani, Isabella Zimmy, Lauren Rose, Joan B. |
author_sort | Flood, Matthew T. |
collection | PubMed |
description | During the COVID-19 pandemic, wastewater-based surveillance has been shown to be a useful tool for monitoring the spread of disease in communities and the emergence of new viral variants of concern. As the pandemic enters its fourth year and clinical testing has declined, wastewater offers a consistent non-intrusive way to monitor community health in the long term. This study sought to understand how accurately wastewater monitoring represented the actual burden of disease between communities. Two communities varying in size and demographics in Michigan were monitored for SARS-CoV-2 in wastewater between March of 2020 and February of 2022. Additionally, each community was monitored for SARS-CoV-2 variants of concern from December 2020 to February 2022. Wastewater results were compared with zipcode and county level COVID-19 case data to determine which scope of clinical surveillance was most correlated with wastewater loading. Pearson r correlations were highest in the smaller of the two communities (population of 25,000) for N1 GC/person/day with zipcode level case data, and date of the onset of symptoms (r = 0.81). A clear difference was seen with more cases and virus signals in the wastewater of the larger community (population 110,000) when examined based on vaccine status, which reached only 50%. While wastewater levels of SARS-CoV-2 had a lower correlation to cases in the larger community, the information was still seen as valuable in supporting public health actions and further data including vaccination status should be examined in the future. |
format | Online Article Text |
id | pubmed-10399835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103998352023-08-04 Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities Flood, Matthew T. Sharp, Josh Bruggink, Jennifer Cormier, Molly Gomes, Bailey Oldani, Isabella Zimmy, Lauren Rose, Joan B. PLoS One Research Article During the COVID-19 pandemic, wastewater-based surveillance has been shown to be a useful tool for monitoring the spread of disease in communities and the emergence of new viral variants of concern. As the pandemic enters its fourth year and clinical testing has declined, wastewater offers a consistent non-intrusive way to monitor community health in the long term. This study sought to understand how accurately wastewater monitoring represented the actual burden of disease between communities. Two communities varying in size and demographics in Michigan were monitored for SARS-CoV-2 in wastewater between March of 2020 and February of 2022. Additionally, each community was monitored for SARS-CoV-2 variants of concern from December 2020 to February 2022. Wastewater results were compared with zipcode and county level COVID-19 case data to determine which scope of clinical surveillance was most correlated with wastewater loading. Pearson r correlations were highest in the smaller of the two communities (population of 25,000) for N1 GC/person/day with zipcode level case data, and date of the onset of symptoms (r = 0.81). A clear difference was seen with more cases and virus signals in the wastewater of the larger community (population 110,000) when examined based on vaccine status, which reached only 50%. While wastewater levels of SARS-CoV-2 had a lower correlation to cases in the larger community, the information was still seen as valuable in supporting public health actions and further data including vaccination status should be examined in the future. Public Library of Science 2023-08-03 /pmc/articles/PMC10399835/ /pubmed/37535602 http://dx.doi.org/10.1371/journal.pone.0289343 Text en © 2023 Flood et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Flood, Matthew T. Sharp, Josh Bruggink, Jennifer Cormier, Molly Gomes, Bailey Oldani, Isabella Zimmy, Lauren Rose, Joan B. Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities |
title | Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities |
title_full | Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities |
title_fullStr | Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities |
title_full_unstemmed | Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities |
title_short | Understanding the efficacy of wastewater surveillance for SARS-CoV-2 in two diverse communities |
title_sort | understanding the efficacy of wastewater surveillance for sars-cov-2 in two diverse communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399835/ https://www.ncbi.nlm.nih.gov/pubmed/37535602 http://dx.doi.org/10.1371/journal.pone.0289343 |
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