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.

doi:10.3201/eid2908.221580

i

Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada

Supporting Files Public Domain

8 2023 ; 8-2023
By Cheng, Lydia ; Dhiyebi, Hadi A. ; Varia, Monali
http://dx.doi.org/10.3201/eid2908.221580

File Language:

English

Details

Alternative Title:

Emerg Infect Dis
Personal 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.
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.
Subjects:
Source:

Emerg Infect Dis. 2023; 29(8):1580-1588
Pubmed ID:

37379513
Pubmed Central ID:

PMC10370834
Document Type:

Journal Article
Volume:

29
Issue:

8
Download URL:

https://stacks.cdc.gov/view/cdc/132599/cdc_132599_DS1.pdf
File Type:

[PDF - 1.47 MB]
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

urn:sha256:bda28d4cf5f57878dcd543a95cb41c9de3c74fcd825b572b8a1ab901c94fbb9a

File Language:

English

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