2023
DOI
bib
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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,
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
Emerging Infectious Diseases, Volume 29, Issue 8
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.
DOI
bib
abs
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,
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
Emerging Infectious Diseases, Volume 29, Issue 8
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.
