A wastewater-based risk index for SARS-CoV-2 infections among three cities on the Canadian Prairie.

Autor: Asadi M; Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: mohsen.asadi@usask.ca., Oloye FF; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: f.oloye@usask.ca., Xie Y; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada., Cantin J; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada., Challis JK; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada., McPhedran KN; Department of Civil, Geological and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada., Yusuf W; Public Health Risk Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Ontario, Canada., Champredon D; Public Health Risk Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Ontario, Canada., Xia P; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada., De Lange C; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada., El-Baroudy S; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada., Servos MR; Department of Biology, University of Waterloo, Waterloo, Ontario, Canada., Jones PD; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada., Giesy JP; Toxicology 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 Integrative Biology and Center for Integrative Toxicology, Michigan State University, East Lansing, MI, USA. Electronic address: john.giesy@usask.ca., Brinkmann M; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: markus.brinkmann@usask.ca.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2023 Jun 10; Vol. 876, pp. 162800. Date of Electronic Publication: 2023 Mar 11.
DOI: 10.1016/j.scitotenv.2023.162800
Abstrakt: Wastewater surveillance (WWS) is useful to better understand the spreading of coronavirus disease 2019 (COVID-19) in communities, which can help design and implement suitable mitigation measures. The main objective of this study was to develop the Wastewater Viral Load Risk Index (WWVLRI) for three Saskatchewan cities to offer a simple metric to interpret WWS. The index was developed by considering relationships between reproduction number, clinical data, daily per capita concentrations of virus particles in wastewater, and weekly viral load change rate. Trends of daily per capita concentrations of SARS-CoV-2 in wastewater for Saskatoon, Prince Albert, and North Battleford were similar during the pandemic, suggesting that per capita viral load can be useful to quantitatively compare wastewater signals among cities and develop an effective and comprehensible WWVLRI. The effective reproduction number (R t ) and the daily per capita efficiency adjusted viral load thresholds of 85 × 10 6 and 200 × 10 6 N2 gene counts (gc)/population day (pd) were determined. These values with rates of change were used to categorize the potential for COVID-19 outbreaks and subsequent declines. The weekly average was considered 'low risk' when the per capita viral load was 85 × 10 6 N2 gc/pd. A 'medium risk' occurs when the per capita copies were between 85 × 10 6 and 200 × 10 6 N2 gc/pd. with a rate of change <100 %. The start of an outbreak is indicated by a 'medium-high' risk classification when the week-over-week rate of change was >100 %, and the absolute magnitude of concentrations of viral particles was >85 × 10 6 N2 gc/pd. Lastly, a 'high risk' occurs when the viral load exceeds 200 × 10 6 N2 gc/pd. This methodology provides a valuable resource for decision-makers and health authorities, specifically given the limitation of COVID-19 surveillance based on clinical data.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier B.V.)
Databáze: MEDLINE
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