Files and links (2)
Published (Version of record)CC BY-NC-ND V4.0, Open Access
Published (Version of record)CC BY-NC-ND V4.0, Open
Journal article
Wastewater-Based Surveillance Is an Effective Tool for Trending COVID-19 Prevalence in Communities: A Study of 10 Major Communities for 17 Months in Alberta
ACS ES&T Water, Vol.2(11), pp.2243-2254
19/09/2022
Metrics
7 File views/ downloads
6 Record Views
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Abstract
The correlations between SARS-CoV-2 RNA levels in wastewater from 12 wastewater treatment plants and new COVID-19 cases in the corresponding sewersheds of 10 communities were studied over 17 months. The analysis from the longest continuous surveillance reported to date revealed that SARS-CoV-2 RNA levels correlated well with temporal changes of COVID-19 cases in each community. The strongest correlation was found during the third wave (r = 0.97) based on the population-weighted SARS-CoV-2 RNA levels in wastewater. Different correlations were observed (r from 0.51 to 0.86) in various sizes of communities. The population in the sewershed had no observed effects on the strength of the correlation. Fluctuation of SARS-CoV-2 RNA levels in wastewater mirrored increases and decreases of COVID-19 cases in the corresponding community. Since the viral shedding to sewers from all infected individuals is included, wastewater-based surveillance provides an unbiased and no-discriminate estimation of the prevalence of COVID-19 compared with clinical testing that was subject to testing-seeking behaviors and policy changes. Wastewater-based surveillance on SARS-CoV-2 represents a temporal trend of COVID-19 disease burden and is an effective and supplementary monitoring when the number of COVID-19 cases reaches detectable thresholds of SARS-CoV-2 RNA in wastewater of treatment facilities serving various sizes of populations.
Details
- Title
- Wastewater-Based Surveillance Is an Effective Tool for Trending COVID-19 Prevalence in Communities: A Study of 10 Major Communities for 17 Months in Alberta
- Creators
- Xiaoli Pang - University of AlbertaTiejun Gao - University of AlbertaErik Ellehoj - University of AlbertaQiaozhi Li - University of AlbertaYuanyuan Qiu - University of AlbertaRasha Maal-Bared - EPCORChristopher Sikora - University of AlbertaGraham Tipples - University of AlbertaMathew Diggle - ProvLabDeena Hinshaw - University of AlbertaNicholas J. Ashbolt - Southern Cross UniversityJames Talbot - University of AlbertaSteve E. Hrudey - University of AlbertaBonita E. Lee - University of Alberta
- Publication Details
- ACS ES&T Water, Vol.2(11), pp.2243-2254
- Publisher
- American Chemical Society
- Number of pages
- 12
- Grant note
- RES0051047 / Alberta Innovates Alberta Precision Laboratories Canadian Institutes of Health Research; Canadian Institutes of Health Research (CIHR)
- Identifiers
- 991013055109102368
- Copyright
- © 2022 The Authors. Published by American Chemical Society. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article