Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021-June 2022

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Dokumenter

  • Fulltext

    Forlagets udgivne version, 1,4 MB, PDF-dokument

  • Oliver McManus
  • Lasse Engbo Christiansen
  • Maarten Nauta
  • Lene Wulff Krogsgaard
  • Naja Stolberg Bahrenscheer
  • Lene von Kappelgaard
  • Tobias Christiansen
  • Mikkel Hansen
  • Nicco Claudio Hansen
  • Jonas Kähler
  • Anders Rasmussen
  • Stine Raith Richter
  • Lasse Dam Rasmussen
  • Kristina Træholt Franck
  • Ethelberg, Steen
Analysis of wastewater is used in many settings for surveillance of SARS-CoV-2, but it remains unclear how well wastewater testing results reflect incidence. Denmark has had an extensive wastewater analysis system that conducts 3 weekly tests in ≈200 sites and has 85% population coverage; the country also offers free SARS-CoV-2 PCR tests to all residents. Using time series analysis for modeling, we found that wastewater data, combined with information on circulating variants and the number of human tests performed, closely fitted the incidence curve of persons testing positive. The results were consistent at a regional level and among a subpopulation of frequently tested healthcare personnel. We used wastewater analysis data to estimate incidence after testing was reduced to a minimum after March 2022. These results imply that data from a large-scale wastewater surveillance system can serve as a good proxy for COVID-19 incidence and for epidemic control.
OriginalsprogEngelsk
TidsskriftEmerging Infectious Diseases
Vol/bind29
Udgave nummer8
Sider (fra-til)1589-1597
Antal sider9
ISSN1080-6040
DOI
StatusUdgivet - 2023

Bibliografisk note

Publisher Copyright:
© 2023 Centers for Disease Control and Prevention (CDC). All rights reserved.

ID: 370567654