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Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada
We determined correlations between SARS-CoV-2 load in untreated water and COVID-19 cases and patient hospitalizations before the Omicron variant (September 2020–November 2021) at 2 wastewater treatment plants in the Regional Municipality of Peel, Ontario, Canada. Using pre-Omicron correlations, we e...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370834/ https://www.ncbi.nlm.nih.gov/pubmed/37379513 http://dx.doi.org/10.3201/eid2908.221580 |
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author | Cheng, Lydia Dhiyebi, Hadi A. Varia, Monali Atanas, Kyle Srikanthan, Nivetha Hayat, Samina Ikert, Heather Fuzzen, Meghan Sing-Judge, Carly Badlani, Yash Zeeb, Eli Bragg, Leslie M. Delatolla, Robert Giesy, John P. Gilliland, Elaine Servos, Mark R. |
author_facet | Cheng, Lydia Dhiyebi, Hadi A. Varia, Monali Atanas, Kyle Srikanthan, Nivetha Hayat, Samina Ikert, Heather Fuzzen, Meghan Sing-Judge, Carly Badlani, Yash Zeeb, Eli Bragg, Leslie M. Delatolla, Robert Giesy, John P. Gilliland, Elaine Servos, Mark R. |
author_sort | Cheng, Lydia |
collection | PubMed |
description | We determined correlations between SARS-CoV-2 load in untreated water and COVID-19 cases and patient hospitalizations before the Omicron variant (September 2020–November 2021) at 2 wastewater treatment plants in the Regional Municipality of Peel, Ontario, Canada. Using pre-Omicron correlations, we estimated incident COVID-19 cases during Omicron outbreaks (November 2021–June 2022). The strongest correlation between wastewater SARS-CoV-2 load and COVID-19 cases occurred 1 day after sampling (r = 0.911). The strongest correlation between wastewater load and COVID-19 patient hospitalizations occurred 4 days after sampling (r = 0.819). At the peak of the Omicron BA.2 outbreak in April 2022, reported COVID-19 cases were underestimated 19-fold because of changes in clinical testing. Wastewater data provided information for local decision-making and are a useful component of COVID-19 surveillance systems. |
format | Online Article Text |
id | pubmed-10370834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-103708342023-08-01 Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada Cheng, Lydia Dhiyebi, Hadi A. Varia, Monali Atanas, Kyle Srikanthan, Nivetha Hayat, Samina Ikert, Heather Fuzzen, Meghan Sing-Judge, Carly Badlani, Yash Zeeb, Eli Bragg, Leslie M. Delatolla, Robert Giesy, John P. Gilliland, Elaine Servos, Mark R. Emerg Infect Dis Research We determined correlations between SARS-CoV-2 load in untreated water and COVID-19 cases and patient hospitalizations before the Omicron variant (September 2020–November 2021) at 2 wastewater treatment plants in the Regional Municipality of Peel, Ontario, Canada. Using pre-Omicron correlations, we estimated incident COVID-19 cases during Omicron outbreaks (November 2021–June 2022). The strongest correlation between wastewater SARS-CoV-2 load and COVID-19 cases occurred 1 day after sampling (r = 0.911). The strongest correlation between wastewater load and COVID-19 patient hospitalizations occurred 4 days after sampling (r = 0.819). At the peak of the Omicron BA.2 outbreak in April 2022, reported COVID-19 cases were underestimated 19-fold because of changes in clinical testing. Wastewater data provided information for local decision-making and are a useful component of COVID-19 surveillance systems. Centers for Disease Control and Prevention 2023-08 /pmc/articles/PMC10370834/ /pubmed/37379513 http://dx.doi.org/10.3201/eid2908.221580 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Cheng, Lydia Dhiyebi, Hadi A. Varia, Monali Atanas, Kyle Srikanthan, Nivetha Hayat, Samina Ikert, Heather Fuzzen, Meghan Sing-Judge, Carly Badlani, Yash Zeeb, Eli Bragg, Leslie M. Delatolla, Robert Giesy, John P. Gilliland, Elaine Servos, Mark R. Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada |
title | Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada |
title_full | Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada |
title_fullStr | Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada |
title_full_unstemmed | Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada |
title_short | Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada |
title_sort | omicron covid-19 case estimates based on previous sars-cov-2 wastewater load, regional municipality of peel, ontario, canada |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370834/ https://www.ncbi.nlm.nih.gov/pubmed/37379513 http://dx.doi.org/10.3201/eid2908.221580 |
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