Dr. Bonita Lee, an associate professor of pediatrics at the University of Alberta and co-lead for Alberta’s water monitoring, looks at a graph on her computer screen that shows the amount of SARS CoV-2 RNA in wastewater in various communities across the province. Edmonton’s graph at the time of publication starts out with several up and down waves reminiscent of those seen on a seismometer, eventually culminating in a big peak.
The information, made available to the public through Alberta’s COVID Tracker website, displays the work Lee and her colleagues have been analyzing over the course of the pandemic through the Pan Alberta Wastewater Monitoring Project.
When people have COVID-19, virus remnants are shed in their stool, ending up in wastewater. Samples of this waste-water are collected three times a week from 20 treatment plants or pump stations, covering 42 communities and cities. There are also site-specific waste-water management projects at chosen long-term care facilities, hospitals, university campuses and correctional facilities with data shared directly with those sites.
After samples are collected, they’re shipped to the U of A and University of Calgary where they are analyzed in the labs. The U of A and U of C teams use a real time quantitative RT-PCR (reverse transcription-polymerase chain reaction) test to detect and quantify the level of viral RNA in the sample. Both teams use different methods to process the waste water sample for the RT-PCR test. Within 24 to 48 hours, results are gathered and shared.
With the province restricting PCR tests to only those with risk for severe disease and those who live and work in high-risk settings, this data is critical and can influence public health action. “Everyone is waiting to see what will happen to COVID. So, I don’t have a crystal ball — there are too many elements changing how it spreads in the community,” says Lee. “But wastewater will actually capture anyone who is infected with COVID and shedding the virus in their stool. So, it is not biased and not selective and gives a better idea of how much disease is happening in the community for that particular wave.”