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Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan
Wastewater-based epidemiology is being used as a tool to monitor the spread of COVID-19 and provide an early warning for the presence or increase of clinical cases in a community. The majority of wastewater-based epidemiology for COVID-19 tracking has been utilized in sewersheds that service populat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714184/ https://www.ncbi.nlm.nih.gov/pubmed/36471702 http://dx.doi.org/10.1016/j.envadv.2022.100326 |
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author | Jarvie, Michelle M. Reed-Lukomski, Moriah Southwell, Benjamin Wright, Derek Nguyen, Thu N.T. |
author_facet | Jarvie, Michelle M. Reed-Lukomski, Moriah Southwell, Benjamin Wright, Derek Nguyen, Thu N.T. |
author_sort | Jarvie, Michelle M. |
collection | PubMed |
description | Wastewater-based epidemiology is being used as a tool to monitor the spread of COVID-19 and provide an early warning for the presence or increase of clinical cases in a community. The majority of wastewater-based epidemiology for COVID-19 tracking has been utilized in sewersheds that service populations in the tens-to-hundreds of thousands. Few studies have been conducted to assess the usefulness of wastewater in predicting COVID-19 clinical cases specifically in rural areas. This study collected samples from 16 locations across the Eastern Upper Peninsula of Michigan from June to December 2021. Sampling locations included 12 rural municipalities, a Tribal housing community and casino, a public university, three municipalities that also contained a prison, and a small island with heavy tourist traffic. Samples were analyzed for SARS-CoV-2 N1, N2, and variant gene copies using reverse transcriptase droplet digital polymerase chain reaction (RT-ddPCR). Wastewater N1 and N2 gene copies and clinical case counts were correlated to determine if wastewater results were predictive of clinical cases. Significant correlation between N1 and N2 gene copies and clinical cases was found for all sites (⍴= 0.89 to 0.48). N1 and N2 wastewater results were predictive of clinical case trends within 0-7 days. The Delta variant was detected in the Pickford and St. Ignace samples more than 12-days prior to the first reported Delta clinical cases in their respective counties. Locations with low correlation could be attributed to their high rates of tourism. This is further supported by the high correlation seen in the public university, which is a closed population. Long-term wastewater monitoring over a large, rural geographic area is useful for informing the public of potential outbreaks in the community regardless of asymptomatic cases and access to clinical testing. |
format | Online Article Text |
id | pubmed-9714184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97141842022-12-01 Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan Jarvie, Michelle M. Reed-Lukomski, Moriah Southwell, Benjamin Wright, Derek Nguyen, Thu N.T. Environ Adv Article Wastewater-based epidemiology is being used as a tool to monitor the spread of COVID-19 and provide an early warning for the presence or increase of clinical cases in a community. The majority of wastewater-based epidemiology for COVID-19 tracking has been utilized in sewersheds that service populations in the tens-to-hundreds of thousands. Few studies have been conducted to assess the usefulness of wastewater in predicting COVID-19 clinical cases specifically in rural areas. This study collected samples from 16 locations across the Eastern Upper Peninsula of Michigan from June to December 2021. Sampling locations included 12 rural municipalities, a Tribal housing community and casino, a public university, three municipalities that also contained a prison, and a small island with heavy tourist traffic. Samples were analyzed for SARS-CoV-2 N1, N2, and variant gene copies using reverse transcriptase droplet digital polymerase chain reaction (RT-ddPCR). Wastewater N1 and N2 gene copies and clinical case counts were correlated to determine if wastewater results were predictive of clinical cases. Significant correlation between N1 and N2 gene copies and clinical cases was found for all sites (⍴= 0.89 to 0.48). N1 and N2 wastewater results were predictive of clinical case trends within 0-7 days. The Delta variant was detected in the Pickford and St. Ignace samples more than 12-days prior to the first reported Delta clinical cases in their respective counties. Locations with low correlation could be attributed to their high rates of tourism. This is further supported by the high correlation seen in the public university, which is a closed population. Long-term wastewater monitoring over a large, rural geographic area is useful for informing the public of potential outbreaks in the community regardless of asymptomatic cases and access to clinical testing. The Authors. Published by Elsevier Ltd. 2023-04 2022-12-01 /pmc/articles/PMC9714184/ /pubmed/36471702 http://dx.doi.org/10.1016/j.envadv.2022.100326 Text en © 2022 The Authors. Published by Elsevier Ltd. 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 Jarvie, Michelle M. Reed-Lukomski, Moriah Southwell, Benjamin Wright, Derek Nguyen, Thu N.T. Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan |
title | Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan |
title_full | Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan |
title_fullStr | Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan |
title_full_unstemmed | Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan |
title_short | Monitoring of COVID-19 in wastewater across the Eastern Upper Peninsula of Michigan |
title_sort | monitoring of covid-19 in wastewater across the eastern upper peninsula of michigan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714184/ https://www.ncbi.nlm.nih.gov/pubmed/36471702 http://dx.doi.org/10.1016/j.envadv.2022.100326 |
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