Predicting COVID-19 cases across a large university campus using built environment surveillance
Detection of SARS-CoV-2 RNA on floors and viral RNA levels in city-wide wastewater were strongly associated with the incidence of COVID-19 cases on a university campus. These data suggest a potential role for institutional built environment sampling, used together with wastewater surveillance, for predicting COVID-19 cases at both campus-wide and building-level scales.
Authors
- Laura Hug
- Jason Moggridge (ORCID: https://orcid.org/0000-0003-1291-5868)
- Derek R. MacFadden (ORCID: https://orcid.org/0000-0002-3838-1211)
- Hebah Mejbel (ORCID: https://orcid.org/0000-0001-5737-7608)
- Nisha Thampi (ORCID: https://orcid.org/0000-0003-0208-6277)
- Aaron Hinz (ORCID: https://orcid.org/0000-0003-4438-7043)
- Rees Kassen (ORCID: https://orcid.org/0000-0002-5617-4259)
- Alex Wong (ORCID: https://orcid.org/0000-0001-6249-3013)
- Ashley Raudanskis
- Evgueni Doukhanine
- Michael Fralick (ORCID: https://orcid.org/0000-0002-2082-2445)
- Caroline Nott
- Hanna Ke (ORCID: https://orcid.org/0000-0003-4997-6111)
- Alexandra M.A. Hicks
Institutions
- University of Waterloo (CA)
- University of Ottawa (CA)
- Lunenfeld-Tanenbaum Research Institute (CA)
- Ottawa Hospital (CA)
- Outotec (Canada) (CA)
- Sinai Health System (CA)
- Ottawa Hospital Research Institute (CA)
- McGill University (CA)
- Carleton University (CA)
Publication Details
- Journal
- Journal of the Association of Medical Microbiology and Infectious Disease Canada
- Published
- 2024-12-19
- DOI
- https://doi.org/10.3138/jammi-2024-0002
- Citations
- 1
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.39