posted on 2021-11-05, 13:36authored byStephen
F. Fitzgerald, Gianluigi Rossi, Alison S. Low, Sean P. McAteer, Brian O’Keefe, David Findlay, Graeme J. Cameron, Peter Pollard, Peter T. R. Singleton, George Ponton, Andrew C. Singer, Kata Farkas, Davey Jones, David W. Graham, Marcos Quintela-Baluja, Christine Tait-Burkard, David L. Gally, Rowland Kao, Alexander Corbishley
Wastewater based epidemiology (WBE)
has become an important tool
during the COVID-19 pandemic, however the relationship between SARS-CoV-2
RNA in wastewater treatment plant influent (WWTP) and cases in the
community is not well-defined. We report here the development of a
national WBE program across 28 WWTPs serving 50% of the population
of Scotland, including large conurbations, as well as low-density
rural and remote island communities. For each WWTP catchment area,
we quantified spatial and temporal relationships between SARS-CoV-2
RNA in wastewater and COVID-19 cases. Daily WWTP SARS-CoV-2 influent
viral RNA load, calculated using daily influent flow rates, had the
strongest correlation (ρ > 0.9) with COVID-19 cases within
a
catchment. As the incidence of COVID-19 cases within a community increased,
a linear relationship emerged between cases and influent viral RNA
load. There were significant differences between WWTPs in their capacity
to predict case numbers based on influent viral RNA load, with the
limit of detection ranging from 25 cases for larger plants to a single
case in smaller plants. SARS-CoV-2 viral RNA load can be used to predict
the number of cases detected in the WWTP catchment area, with a clear
statistically significant relationship observed above site-specific
case thresholds.