Site Specific Relationships between COVID-19 Cases and SARS-CoV-2 Viral Load in Wastewater Treatment Plant Influent

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Fersiynau electronig


Dangosydd eitem ddigidol (DOI)

  • Stephen F Fitzgerald
    University of Edinburgh
  • Gianluigi Rossi
    University of Edinburgh
  • Alison S Low
    University of Edinburgh
  • Sean P McAteer
    University of Edinburgh
  • Brian O'Keefe
    Scottish Environment Protection Agency
  • David Findlay
    Scottish Environment Protection Agency
  • Graeme J Cameron
    Scottish Environment Protection Agency
  • Peter Pollard
    Scottish Environment Protection Agency
  • Peter T R Singleton
    Scottish Environment Protection Agency
  • George Ponton
    Scottish Water
  • Andrew C Singer
    UK Centre for Ecology & Hydrology
  • Kata Farkas
  • Davey L. Jones
  • David W Graham
    University of Newcastle
  • Marcos Quintela-Baluja
    University of Newcastle
  • Christine Tait-Burkard
    University of Edinburgh
  • David L Gally
    University of Edinburgh
  • Rowland Kao
    University of Edinburgh
  • Alexander Corbishley
    University of Edinburgh

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.


Iaith wreiddiolSaesneg
Tudalennau (o-i)15276-15286
Nifer y tudalennau11
CyfnodolynEnvironmental Science and Technology
Rhif y cyfnodolyn22
Dyddiad ar-lein cynnar5 Tach 2021
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 16 Tach 2021

Cyhoeddiadau (1)

Gweld y cyfan

Cyfanswm lawlrlwytho

Nid oes data ar gael
Gweld graff cysylltiadau