Making waves: Wastewater-based epidemiology for COVID-19-approaches and challenges for surveillance and prediction

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Fersiynau electronig

Dogfennau

Dangosydd eitem ddigidol (DOI)

  • David Polo
    Universidade de Santiago de Compostela
  • Marcos Quintela-Baluja
    Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK.
  • Alexander Corbishley
    University of Edinburgh
  • Davey L. Jones
  • Andrew C. Singer
    Centre for Ecology and Hydrology, Wallingford, UK
  • David W. Graham
    Institute for Health and Society, Newcastle University, Newcastle upon Tyne, UK.
  • Jesus L. Romalde
    Universidade de Santiago de Compostela
The presence of SARS-CoV-2 in the feces of infected patients and wastewater has drawn attention, not only to the possibility of fecal-oral transmission but also to the use of wastewater as an epidemiological tool. The COVID-19 pandemic has highlighted problems in evaluating the epidemiological scope of the disease using classical surveillance approaches, due to a lack of diagnostic capacity, and their application to only a small proportion of the population. As in previous pandemics, statistics, particularly the proportion of the population infected, are believed to be widely underestimated. Furthermore, analysis of only clinical samples cannot predict outbreaks in a timely manner or easily capture asymptomatic carriers. Threfore, community-scale surveillance, including wastewater-based epidemiology, can bridge the broader community and the clinic, becoming a valuable indirect epidemiological prediction tool for SARS-CoV-2 and other pandemic viruses. This article summarizes current knowledge and discusses the critical factors for implementing wastewater-based epidemiology of COVID-19.

Allweddeiriau

Iaith wreiddiolSaesneg
Rhif yr erthygl116404
CyfnodolynWater Research
Cyfrol186
Dyddiad ar-lein cynnar9 Medi 2020
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Tach 2020

Cyfanswm lawlrlwytho

Nid oes data ar gael
Gweld graff cysylltiadau