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Partitioning behaviour of viruses in wastewater
| Description: | Surveillance of concentrations of SARS-CoV-2 or its RNA fragments in wastewater has been an invaluable tool during the COVID-19 pandemic to support public health efforts. The dataset described here contains the data that was used to determine the partitioning behaviour of SARS-CoV-2 in municipal wastewater. In addition, the partitioning of pepper mild mottled virus (PMMoV) and two coronavirus surrogates, human coronavirus 229 and murine hepatitis virus, were also analyzed as these viruses are commonly used for either data normalization for trend analysis or as process controls. The total copies of RNA of all aforementioned viruses were compared under different centrifugal conditions with varied force and duration to assess viral partitioning. Moreover, three different ultrafiltration devices, used to measure RNA in the aqueous phase of wastewater, were analyzed. In summary, the use of different centrifugal conditions and ultrafiltration devices can affect how the partitioning behaviour of viruses in wastewater is determined. Overall, it is important to understand the fate of viruses of public health concern in wastewater to prepare for future potential infectious diseases. This dataset contains viral partitioning in municipal wastewater data used for the following thesis: Patrick Breadner (2023). The Apparent Partitioning Behaviour of SARS-CoV-2 RNA in Municipal Wastewater. UWSpace. http://hdl.handle.net/10012/19258 The dataset is a supplement to the journal article A comparative analysis of the partitioning behaviour of SARS-CoV-2 RNA in liquid and solid fractions of wastewater https://doi.org/10.1016/j.scitotenv.2023.165095 |
| Notes: | Item exited embargo and became publicly available on 2023-07-06 |
| Authors: | Breadner, Patrick R.; University of Waterloo; Water Institute; Servos Research Group;  0000-0001-6312-0139Dhiyebi, Hadi A.; University of Waterloo; Water Institute; Servos Research Group; 0000-0002-8101-8960Srikanthan, Nivetha; University of Waterloo; Water Institute; Servos Research Group; 0000-0001-7412-1313Hayat, Samina; University of Waterloo; Water Institute; Servos Research Group Servos, Mark R.; University of Waterloo; Water Institute; Servos Research Group; 0000-0002-3783-627X |
| Keywords: | viral partitioning SARS-CoV-2 wastewater-based surveillance human coronavirus 229E murine hepatitis virus pepper mild mottled virus (PMMoV) |
| Field of Research: | Biological sciences > Microbiology > Environmental microbiology (including air microbiology)
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| Publication Date: | 2023-07-06 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Ontario Ministry of the Environment, Conservation and Parks; Wastewater Surveillance Initiative; TPA 2021-02-1-1564736554 Canada First Research Excellence Fund (CFREF); Global Water Futures Program (GWF); 410295 Global Water Futures Program; Lake Futures: Enhancing Adaptive Capacity and Resilience of Lakes and their Watersheds; 410295 Global Water Futures Program; Next Generation Solutions to Ensure Healthy Water Resources for Future Generations; 410295 Canada Foundation for Innovation; Global Water Futures Observatories |
| URI: | https://doi.org/10.20383/102.0747 |
| Related Identifiers: |
This dataset is a supplement to
This dataset is a supplement to
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| Geographic Coverage: | Place Name University of Waterloo City Waterloo Province / Province / Territory Ontario Territory Country Canada Place Name Clarkson WWTP City Mississauga Province / Province / Territory Ontario Territory Country Canada Place Name GE Booth WWTP City Mississauga Province / Province / Territory Ontario Territory Country Canada Place Name Kitchener WWTP City Kitchener Province / Province / Territory Ontario Territory Country Canada |
| Geographic Point: | Latitude 43.47082229814794 Longitude -80.54367972706852 Latitude 43.49583950295918 Longitude -79.61976004689434 Latitude 43.57813235185477 Longitude -79.54719431363328 Latitude 43.39954467850087 Longitude -80.42302931991335 |
| 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
Breadner, P., Dhiyebi, H., Srikanthan, N., Hayat, S., Servos, M. (2023). Partitioning behaviour of viruses in wastewater. Federated Research Data Repository. https://doi.org/10.20383/102.0747
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