Tracking Emergence and Spread of SARS-CoV-2 Omicron Variant in Large and Small Communities by Wastewater Monitoring in Alberta, Canada
Supporting Files
Public Domain
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9 2022
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File Language:
English
Details
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Alternative Title:Emerg Infect Dis
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Personal Author:Hubert, Casey R.J. ; Acosta, Nicole ; Waddell, Barbara J.M. ; Hasing, Maria E. ; Qiu, Yuanyuan ; Fuzzen, Meghan ; Harper, Nathanael B.J. ; Bautista, María A. ; Gao, Tiejun ; Papparis, Chloe ; Van Doorn, Jenn ; Du, Kristine ; Xiang, Kevin ; Chan, Leslie ; Vivas, Laura ; Pradhan, Puja ; McCalder, Janine ; Low, Kashtin ; England, Whitney E. ; Kuzma, Darina ; Conly, John ; Ryan, M. Cathryn ; Achari, Gopal ; Hu, Jia ; Cabaj, Jason L. ; Sikora, Chris ; Svenson, Larry ; Zelyas, Nathan ; Servos, Mark ; Meddings, Jon ; Hrudey, Steve E. ; Frankowski, Kevin ; Parkins, Michael D. ; Pang, Xiaoli (Lilly) ; Lee, Bonita E.
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Description:Wastewater monitoring of SARS-CoV-2 enables early detection and monitoring of the COVID-19 disease burden in communities and can track specific variants of concern. We determined proportions of the Omicron and Delta variants across 30 municipalities covering >75% of the province of Alberta (population 4.5 million), Canada, during November 2021-January 2022. Larger cities Calgary and Edmonton exhibited more rapid emergence of Omicron than did smaller and more remote municipalities. Notable exceptions were Banff, a small international resort town, and Fort McMurray, a medium-sized northern community that has many workers who fly in and out regularly. The integrated wastewater signal revealed that the Omicron variant represented close to 100% of SARS-CoV-2 burden by late December, before the peak in newly diagnosed clinical cases throughout Alberta in mid-January. These findings demonstrate that wastewater monitoring offers early and reliable population-level results for establishing the extent and spread of SARS-CoV-2 variants.
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Subjects:
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Source:Emerg Infect Dis. 2022; 28(9):1770-1776
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Pubmed ID:35867051
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Pubmed Central ID:PMC9423933
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Document Type:
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Place as Subject:
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Volume:28
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Issue:9
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Collection(s):
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Main Document Checksum:urn:sha256:30842d5158a4d26d3f7cdd9e8bd9a5dcec0fe16e17b766c43163f141f3bb8375
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Download URL:
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File Type:
Supporting Files
File Language:
English
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Emerging Infectious Diseases