613COVID Website Update
Ottawa wastewater surveillance continues with daily testing and analysis performed in the lab of Dr. Robert Delatolla, Professor, Department of Civil Engineering, University of Ottawa, who has led that work since its inception in April 2020.
The lab, led by Dr. Delatolla, has expanded its focus beyond SARS-CoV-2 to include influenza and RSV viruses, with the data being regularly reported on the official website.
Please follow @DelatollaLab on X (Twitter) for further contextualization of the data.
Acknowledgments are extended to Dr. Doug Manuel and Dr. Tyson Graber for their valuable contributions and support during the unprecedented times of the pandemic and beyond. The collaborative efforts reflect a commitment to advancing public health initiatives through innovative research and data analysis.
Wastewater surveillance continues to be a key indicator to monitoring COVID-19 and other illnesses and there are ongoing efforts towards building a national wastewater dashboard. We are honoured to have so many people in Ottawa use, consult, and support our application
Wastewater plots last updated: 20 November, 2024, 15:51:31
Wastewater samples collected up to: 17 November, 2024
Reported date up to: 20 November, 2024
The website is updated Monday to Friday at approximately 5 p.m. Updates can be delayed if measurements do not pass quality assurance and quality control checks.
Samples that are collected from Monday to Thursday are processed the day after collection. The website and plots are updated the day after processing. Samples that are collected from Friday to Sunday are processed on Monday and thus are posted to the website on Tuesday at 5 p.m.
People with COVID-19 shed the causative SARS-CoV-2 virus in their stool, regardless of whether they have symptoms, receive a COVID-19 test or ever are diagnosed. Thus, in contrast to assessing community COVID-19 levels by measuring the number of active cases, which may miss asymptomatic infections as well as be subject to limited test availability, wastewater surveillance consistently captures most of the population with COVID-19 given that everyone goes to the washroom. In addition to serving as a valuable confirmatory data source for COVID-19 levels, wastewater can also serve as early indicator for possible outbreaks, as described below.
For mobile users, dragging the plot while in landscape mode will allow you to view current data. Using the display options at the top allows you to modify the view by zooming in and out of the plot.
Data last reported 2024-11-19. Click here for more details on wastewater data reporting.
*Rolling mean viral signal omits dates (coloured in blue) flagged by wastewater researchers with potential data concerns. Data is currently being studied for effects of snow melt and other diluting factors on RNA signal.
The next plot illustrates the 7-day rolling mean in daily COVID-19 wastewater viral signal. This number is the average of a week’s readings; today’s reading with the previous six days. Also on the graph are various comparators (e.g. reported daily COVID-19 cases, hospitalization count), which can be individually selected by toggling the menu on the right.
Current growth estimates for the amount of virus in wastewater
| measure | estimate |
|---|---|
| Expected change in viral amount | Unsure |
| Rate of growth | 0.022 (-0.065 – 0.13) |
| Doubling/halving time (days) | 32 (5.3 – -11) |
Variants of Concern
The figure below illustrates the proportion of variants of concern (VOC) found in Ottawa wastewater.
Influenza virus
Samples are screened for influenza A virus (IAV) once a week during the summer period. Influenza B virus (IBV) is only screened during the winter period. The website and plots are updated the day after processing.
The next plot illustrates the 7-day rolling mean in daily influenza A wastewater viral signal. This number is the average of a week’s readings. Also on the graph is the Influenza A and Influenza B percent positivity.
Interpretation cautions
The accuracy and thus reliability of SARS-CoV-2 and influenza wastewater testing is improving, as scientists understand more of the role of factors such as differences in sewage systems and laboratory protocols. Nonetheless, we recommend caution when interpreting daily and short-term variation in the viral signal. The level of detection for SARS-CoV-2 variant tests is unknown at this time but based on preliminary data, is estimated at more than 100 newly diagnosed or active cases. Research is underway to arrive at a more precise estimate sensitivity. COVID-19 and influenza wastewater signal is helpful when interpreted alongside other surveillance measures, taking into consideration the strengths and limitations of each measure. Visit Seasonal Respiratory Infections and Enteric Outbreaks Surveillance Reports for more information on Ottawa public health surveillance.
See the Methods page for more information on how the samples were collected, access to the data, and how the plots were created. The plots are currently for research only and presented to the public for discussion.
You can learn more about wastewater epidemiology and its role in COVID-19 surveillance on Ottawa Public Health’s website.
Definitions
* A 7-day average is generated by averaging the levels from a given day with the six previous days. The average is termed “rolling” as it changes each day.
* For new cases, the reported date is the day the test result is reported by the laboratory. Episode date is the approximate date of COVID-19 infection estimated from information available: the date of symptom onset, test date, or the reported date.
* Percent positivity refers to the percentage of individuals tested for either COVID-19 infection or influenza A infection in a given day that test positive.
* A central question in wastewater epidemiology is determining the proportion of the wastewater that is actually from humans and the proportion that is rain water, snow melt etc. To address this issue, viral copy data is thus normalized using a seasonally stable fecal biomarker; pepper mild mottle virus (PMMoV). See methods for more details.
^ Percent change in 7-day average is calculated by comparing the 7-day average (previous day 1 to 7) with a lagged 7-day average (days 8 to 14).
