@article{Cheng-2023-Omicron,
title = "Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada",
author = "Cheng, Lydia and
Dhiyebi, Hadi A. and
Varia, Monali and
Atanas, Kyle and
Srikanthan, Nivetha and
Hayat, Samina and
Ikert, Heather and
Fuzzen, Meghan and
Sing-Judge, Carly and
Badlani, Yash and
Zeeb, Eli and
Bragg, Leslie M. and
Delatolla, Robert and
Giesy, John P. and
Gilliland, Elaine and
Servos, Mark R. and
Cheng, Lydia and
Dhiyebi, Hadi A. and
Varia, Monali and
Atanas, Kyle and
Srikanthan, Nivetha and
Hayat, Samina and
Ikert, Heather and
Fuzzen, Meghan and
Sing-Judge, Carly and
Badlani, Yash and
Zeeb, Eli and
Bragg, Leslie M. and
Delatolla, Robert and
Giesy, John P. and
Gilliland, Elaine and
Servos, Mark R.",
journal = "Emerging Infectious Diseases, Volume 29, Issue 8",
volume = "29",
number = "8",
year = "2023",
publisher = "Centers for Disease Control and Prevention (CDC)",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G23-24001",
doi = "10.3201/eid2908.221580",
abstract = "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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Cheng-2023-Omicron">
<titleInfo>
<title>Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada</title>
</titleInfo>
<name type="personal">
<namePart type="given">Lydia</namePart>
<namePart type="family">Cheng</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hadi</namePart>
<namePart type="given">A</namePart>
<namePart type="family">Dhiyebi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Monali</namePart>
<namePart type="family">Varia</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kyle</namePart>
<namePart type="family">Atanas</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nivetha</namePart>
<namePart type="family">Srikanthan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Samina</namePart>
<namePart type="family">Hayat</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Heather</namePart>
<namePart type="family">Ikert</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Meghan</namePart>
<namePart type="family">Fuzzen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carly</namePart>
<namePart type="family">Sing-Judge</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yash</namePart>
<namePart type="family">Badlani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Eli</namePart>
<namePart type="family">Zeeb</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Leslie</namePart>
<namePart type="given">M</namePart>
<namePart type="family">Bragg</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Robert</namePart>
<namePart type="family">Delatolla</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">John</namePart>
<namePart type="given">P</namePart>
<namePart type="family">Giesy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Elaine</namePart>
<namePart type="family">Gilliland</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mark</namePart>
<namePart type="given">R</namePart>
<namePart type="family">Servos</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2023</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Emerging Infectious Diseases, Volume 29, Issue 8</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Centers for Disease Control and Prevention (CDC)</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>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.</abstract>
<identifier type="citekey">Cheng-2023-Omicron</identifier>
<identifier type="doi">10.3201/eid2908.221580</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G23-24001</url>
</location>
<part>
<date>2023</date>
<detail type="volume"><number>29</number></detail>
<detail type="issue"><number>8</number></detail>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada
%A Cheng, Lydia
%A Dhiyebi, Hadi A.
%A Varia, Monali
%A Atanas, Kyle
%A Srikanthan, Nivetha
%A Hayat, Samina
%A Ikert, Heather
%A Fuzzen, Meghan
%A Sing-Judge, Carly
%A Badlani, Yash
%A Zeeb, Eli
%A Bragg, Leslie M.
%A Delatolla, Robert
%A Giesy, John P.
%A Gilliland, Elaine
%A Servos, Mark R.
%J Emerging Infectious Diseases, Volume 29, Issue 8
%D 2023
%V 29
%N 8
%I Centers for Disease Control and Prevention (CDC)
%F Cheng-2023-Omicron
%X 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.
%R 10.3201/eid2908.221580
%U https://gwf-uwaterloo.github.io/gwf-publications/G23-24001
%U https://doi.org/10.3201/eid2908.221580
Markdown (Informal)
[Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada](https://gwf-uwaterloo.github.io/gwf-publications/G23-24001) (Cheng et al., GWF 2023)
ACL
- 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, et al.. 2023. Omicron COVID-19 Case Estimates Based on Previous SARS-CoV-2 Wastewater Load, Regional Municipality of Peel, Ontario, Canada. Emerging Infectious Diseases, Volume 29, Issue 8, 29(8).
