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Volume 29, Number 8—August 2023
Research

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

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, and Steen EthelbergComments to Author 
Author affiliations: European Centre for Disease Prevention and Control, Solna, Sweden (O. McManus); Statens Serum Institut, Copenhagen, Denmark (O. McManus, L.E. Christiansen, M. Nauta, L.W. Krogsgaard, N.S. Bahrenscheer, L. von Kappelgaard, T. Christiansen, M. Hansen, N.C. Hansen, J. Kähler, A. Rasmussen, S.R. Richter, L.D. Rasmussen, K.T. Franck, S. Ethelberg); University of Copenhagen, Copenhagen, Denmark (S. Ethelberg)

Main Article

Figure 2

Model fit and forecasts for the national model (A) and the care personnel model (B) used in study of predicting COVID-19 incidence using wastewater surveillance data, Denmark. The fitted values (orange) are seen to follow the observed incidence (black) during the training period. The forecasts in the test period (purple) are also shown against the observed incidence (black).

Figure 2. Model fit and forecasts for the national model (A) and the care personnel model (B) used in study of predicting COVID-19 incidence using wastewater surveillance data, Denmark. The fitted values (orange) are seen to follow the observed incidence (black) during the training period. The forecasts in the test period (purple) are also shown against the observed incidence (black).

Main Article

Page created: June 12, 2023
Page updated: July 19, 2023
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