Because of the increased population density, high-risk behavior of young students, and
lower vaccination rates, university campuses are considered hot spots for COVID-19
transmission. This study monitored the SARS-CoV-2 RNA levels in the wastewater of a
Canadian university campus for a year to provide actionable information to safely manage
COVID-19 on campus. Wastewater samples were collected from the campus sewer and
residence buildings to identify changes, peaks, and hotspots and search for associations
with campus events, social gatherings, long weekends, and holidays. Furthermore, the
impact of wastewater parameters (total solids, volatile solids, temperature, pH,
turbidity, and UV absorbance) on SARS-CoV-2 detection was investigated, and the
efficiency of ultrafiltration and centrifugation concentration methods were compared.
RT-qPCR was used for detecting SARS-CoV-2 RNA. Wastewater signals largely correlated
positively with the clinically confirmed COVID-19 cases on campus. Long weekends and
holidays were often followed by increased viral signals, and the implementation of
lockdowns quickly decreased the case numbers. In spite of online teaching and restricted
access to campus, the university represented a microcosm of the city and mirrored the
same trends. Results indicated that the centrifugation concentration method was more
sensitive for wastewater with high solids content and that the ultrafiltration
concentration method was more sensitive for wastewater with low solids content.
Wastewater characteristics collected from the buildings and the campus sewer were
different. Statistical analysis was performed to manifest the observations. Overall,
wastewater surveillance provided actionable information and was also able to bring
high-risk factors and events to the attention of decision-makers, enabling timely
corrective measures.