Evidence map›Paper›PMID 35716745›Full record

ArticleThe Science of the total environment2022

Rapid transition between SARS-CoV-2 variants of concern Delta and Omicron detected by monitoring municipal wastewater from three Canadian cities.

Femi F Oloye, Yuwei Xie, Mohsen Asadi, Jenna Cantin, Jonathan K Challis, Markus Brinkmann, Kerry N McPhedran, Kevin Kristian, Mark Keller, Mike Sadowski and 6 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  19. Implementing wastewater surveillance for SARS-CoV-2 on a university campus: Lessons learned.Water environment research : a research publication of the Water Environment Federation · 2022
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Femi F OloyeToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: f.oloye@usask.ca.
Yuwei XieToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: yuwei.xie@usask.ca.
Mohsen AsadiDepartment of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
Jenna CantinToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada.
Jonathan K ChallisLethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada.
Markus BrinkmannToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada.
Kerry N McPhedranDepartment of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
Kevin KristianWastewater Treatment Plant, Public Work Department, City of Prince Albert, Prince Albert, SK, Canada.
Mark KellerWastewater Treatment Plant, City Operations, City of North Battleford, North Battleford, SK, Canada.
Mike SadowskiWastewater Treatment Plant, Saskatoon Water Department, City of Saskatoon, Saskatoon, SK, Canada.
Paul D JonesToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada.
Chrystal LandgraffDivision of Enteric Diseases, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Chand MangatWastewater Surveillance Unit, National Microbiology Laboratory Winnipeg, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Meghan FuzzenDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
Mark R ServosDepartment of Biology, University of Waterloo, Waterloo, Ontario, Canada.
John P GiesyToxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Department of Veterinary Biomedical Sciences, University of Saskatchewan, Saskatoon, SK, Canada; Department of Environmental Sciences, Baylor University, Waco, TX, USA; Department of Zoology and Center for Integrative Toxicology, Michigan State University, East Lansing, MI, USA. Electronic address: john.giesy@usask.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring the communal incidence of COVID-19 is important for both government and residents of an area to make informed decisions. However, continuous reliance on one means of monitoring might not be accurate because of biases introduced by government policies or behaviours of residents. Wastewater surveillance was employed to monitor concentrations of SARS-CoV-2 RNA in raw influent wastewater from wastewater treatment plants serving three Canadian Prairie cities with different population sizes. Data obtained from wastewater are not directly influenced by government regulations or behaviours of individuals. The means of three weekly samples collected using 24 h composite auto-samplers were determined. Viral loads were determined by RT-qPCR, and whole-genome sequencing was used to charaterize variants of concern (VOC). The dominant VOCs in the three cities were the same but with different proportions of sub-lineages. Sub-lineages of Delta were AY.12, AY.25, AY.27 and AY.93 in 2021, while the major sub-lineage of Omicron was BA.1 in January 2022, and BA.2 subsequently became a trace-level sub-variant then the predominant VOC. When each VOC was first detected varied among cities; However, Saskatoon, with the largest population, was always the first to present new VOCs. Viral loads varied among cities, but there was no direct correlation with population size, possibly because of differences in flow regimes. Population is one of the factors that affects trends in onset and development of local outbreaks during the pandemic. This might be due to demography or the fact that larger populations had greater potential for inter- and intra-country migration. Hence, wastewater surveillance data from larger cities can typically be used to indicate what to expect in smaller communities.

Indexed as

COVID-19SARS-CoV-2CanadaCitiesHumansRNA, ViralWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterBA.1BA.2Chemical tracerPopulation sizeRaw influentRT-qPCRSARS-CoV-2 RNAVariant of concernsWastewater

Identifiers

PMID35716745
PMCPMC9212401

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.