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Implementing an adaptive, two-tiered SARS-CoV-2 wastewater surveillance program on a university campus using passive sampling
| Description: | Wastewater-based surveillance (WBS) has been increasingly applied at sites upstream of the wastewater treatment plant (WWTP) to monitoring SARS-CoV-2 RNA at the building-scale. The dataset described is the result of an eight-month long passive sampling campaign on the University of Waterloo (Waterloo, ON) campus. The goal was to determine if passive sampling could support institution-level decision-making. In brief, the method involved the 24-hour deployment of cotton gauze passive samplers enclosed in a 3D printed housing vessel. Upon collection, passive sampling materials were washed and the resulting solids were concentrated. RNA extraction from solids was performed using a kit-based extraction method. Two regions of the SARS-CoV-2 nucleocapsid gene (e.g., N1, N2) as well as the endogenous indicator pepper mild mottle virus (PMMoV) were quantified using RT-qPCR. Our study demonstrated that cotton gauze was able to identify trends in SARS-CoV-2 burdens on campus and that viral concentrations on passive samplers were significantly correlated with known clinical cases in the catchment. The dataset also includes monitoring data collected at the nearby municipal WWTP which offers insight to transmission dynamics at both sampling scales. Further developing affordable WBS methodologies will benefit future monitoring efforts under novel public health scenarios. |
| Authors: | Haskell, Blake R.; University of Waterloo;  0009-0002-6620-2070Dhiyebi, Hadi A.; University of Waterloo; 0000-0002-8101-8960Servos, Mark; University of Waterloo; 0000-0002-3783-627X |
| Keywords: | SARS-CoV-2 Omicron wastewater passive sampling wastewater-based surveillance |
| Field of Research: | Biological sciences > Other biological sciences > Other biological sciences
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| Publication Date: | 2023-12-13 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Ontario Ministry of the Environment, Conservation and Parks; TPA 2021-02-1-1564736554 Canada First Research Excellence Fund (CFREF); Global Water Futures Program Natural Sciences and Engineering Research Council of Canada; Discovery; RGPIN-2017-03816 Canada Research Chairs; CRC-2017-00230 Global Water Futures; Lake Futures: Enhancing Adaptive Capacity and Resilience of Lakes and their Watersheds; 410295 |
| URI: | https://doi.org/10.20383/103.0856 |
| Related Identifiers: |
This dataset is part/subset of
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| Geographic Coverage: | Place Name University of Waterloo City Waterloo Province / Province / Territory Ontario Territory Country Canada |
| Geographic Point: | Latitude 43.470754 Longitude -80.542594 |
| Appears in Collections: | Water Institute |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Haskell, B., Dhiyebi, H., Servos, M. (2023). Implementing an adaptive, two-tiered SARS-CoV-2 wastewater surveillance program on a university campus using passive sampling. Federated Research Data Repository. https://doi.org/10.20383/103.0856
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