tetano
Editor, Senior Moderator
Emerg Infect Dis
. 2023 Jun 28;29(8).
doi: 10.3201/eid2908.221580. Online ahead of print.
Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada
Lydia Cheng, Hadi A Dhiyebi, Monali Varia, Kyle Atanas, Nivetha Srikanthan, Samina Hayat, Heather Ikert, Meghan Fuzzen, Carly Sing-Judge, Yash Badlani, Eli Zeeb, Leslie M Bragg, Robert Delatolla, John P Giesy, Elaine Gilliland, Mark R Servos
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). We used correlations between SARS-CoV-2 wastewater load at 2 wastewater treatment plants in Peel (Clarkson and G.E. Booth) and COVID-19 cases and patient hospitalizations before Omicron outbreaks. 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.
Keywords: 2019 novel coronavirus disease; COVID-19; Canada; Regional Municipality of Peel; SARS-CoV-2; coronavirus disease; public health surveillance; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; wastewater-based epidemiologic monitoring; zoonoses.
. 2023 Jun 28;29(8).
doi: 10.3201/eid2908.221580. Online ahead of print.
Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada
Lydia Cheng, Hadi A Dhiyebi, Monali Varia, Kyle Atanas, Nivetha Srikanthan, Samina Hayat, Heather Ikert, Meghan Fuzzen, Carly Sing-Judge, Yash Badlani, Eli Zeeb, Leslie M Bragg, Robert Delatolla, John P Giesy, Elaine Gilliland, Mark R Servos
- PMID: 37379513
- DOI: 10.3201/eid2908.221580
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). We used correlations between SARS-CoV-2 wastewater load at 2 wastewater treatment plants in Peel (Clarkson and G.E. Booth) and COVID-19 cases and patient hospitalizations before Omicron outbreaks. 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.
Keywords: 2019 novel coronavirus disease; COVID-19; Canada; Regional Municipality of Peel; SARS-CoV-2; coronavirus disease; public health surveillance; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; wastewater-based epidemiologic monitoring; zoonoses.