Last updated October 11, 2024
Wastewater treatment facilities participating in the CDPHE Wastewater Surveillance Program submit two samples per week. A statistical time series model is used to determine the trend of SARS-CoV-2 viral concentrations for each individual facility for the date each sample is collected. We review these trends and determine their trend category each week based on the following criteria:
A steady increase means the viral concentrations of the two most recent samples reflect a statistically significant increase relative to earlier samples from that facility.
Durango
La Junta
A simple increase means the viral concentrations of one out of the two most recent samples reflects a statistically significant increase relative to earlier samples from that facility.
A plateau in the trend means there was no statistically significant change in the viral concentrations of the two most recent samples relative to earlier samples from that facility.
Alamosa
Metro WW - NTP
South Platte
Steamboat Springs
A simple decrease means the viral concentrations of one out of the two most recent samples reflects a statistically significant decrease relative to earlier samples from that facility.
CO Springs - JD Phillips
Glenwood Springs
Greeley
Metro Wastewater - PRC
Pueblo
Upper Blue SD - Breckenridge
A steady decrease means the viral concentrations of the two most recent samples reflect a statistically significant decrease relative to earlier samples from that facility.
Aspen
Aurora
Boulder
CO Springs - Las Vegas
Centennial Water & Sanitation District
Grand Junction - Persigo
Metro WW - Clear Creek
Wastewater treatment facilities without two recent samples (within the last 15 days) OR facilities without enough samples to construct a trend model (< 5 samples in 3 weeks) are categorized as insufficient data.
Telluride
Note: Trends are calculated with the SARS-CoV-2 viral concentration data from each individual facility; raw viral concentration levels cannot be compared between utilities due to the variability in collection time, influent flow rates, and differences in the size and characteristics of resident populations, among other factors.