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

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 countr...

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Autores principales: McManus, Oliver, Christiansen, Lasse Engbo, Nauta, Maarten, Krogsgaard, Lene Wulff, Bahrenscheer, Naja Stolberg, von Kappelgaard, Lene, Christiansen, Tobias, Hansen, Mikkel, Hansen, Nicco Claudio, Kähler, Jonas, Rasmussen, Anders, Richter, Stine Raith, Rasmussen, Lasse Dam, Franck, Kristina Træholt, Ethelberg, Steen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370843/
https://www.ncbi.nlm.nih.gov/pubmed/37486168
http://dx.doi.org/10.3201/eid2908.221634
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author McManus, Oliver
Christiansen, Lasse Engbo
Nauta, Maarten
Krogsgaard, Lene Wulff
Bahrenscheer, Naja Stolberg
von Kappelgaard, Lene
Christiansen, Tobias
Hansen, Mikkel
Hansen, Nicco Claudio
Kähler, Jonas
Rasmussen, Anders
Richter, Stine Raith
Rasmussen, Lasse Dam
Franck, Kristina Træholt
Ethelberg, Steen
author_facet McManus, Oliver
Christiansen, Lasse Engbo
Nauta, Maarten
Krogsgaard, Lene Wulff
Bahrenscheer, Naja Stolberg
von Kappelgaard, Lene
Christiansen, Tobias
Hansen, Mikkel
Hansen, Nicco Claudio
Kähler, Jonas
Rasmussen, Anders
Richter, Stine Raith
Rasmussen, Lasse Dam
Franck, Kristina Træholt
Ethelberg, Steen
author_sort McManus, Oliver
collection PubMed
description 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.
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spelling pubmed-103708432023-08-01 Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022 McManus, Oliver Christiansen, Lasse Engbo Nauta, Maarten Krogsgaard, Lene Wulff Bahrenscheer, Naja Stolberg von Kappelgaard, Lene Christiansen, Tobias Hansen, Mikkel Hansen, Nicco Claudio Kähler, Jonas Rasmussen, Anders Richter, Stine Raith Rasmussen, Lasse Dam Franck, Kristina Træholt Ethelberg, Steen Emerg Infect Dis Research 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. Centers for Disease Control and Prevention 2023-08 /pmc/articles/PMC10370843/ /pubmed/37486168 http://dx.doi.org/10.3201/eid2908.221634 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
McManus, Oliver
Christiansen, Lasse Engbo
Nauta, Maarten
Krogsgaard, Lene Wulff
Bahrenscheer, Naja Stolberg
von Kappelgaard, Lene
Christiansen, Tobias
Hansen, Mikkel
Hansen, Nicco Claudio
Kähler, Jonas
Rasmussen, Anders
Richter, Stine Raith
Rasmussen, Lasse Dam
Franck, Kristina Træholt
Ethelberg, Steen
Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022
title Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022
title_full Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022
title_fullStr Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022
title_full_unstemmed Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022
title_short Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022
title_sort predicting covid-19 incidence using wastewater surveillance data, denmark, october 2021–june 2022
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370843/
https://www.ncbi.nlm.nih.gov/pubmed/37486168
http://dx.doi.org/10.3201/eid2908.221634
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