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 Ethelberg
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)
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Figure 3
Figure 3. Predicted COVID-19 incidence at a constant testing rate (purple) based on the national model, compared with observed incidence (black), in study of wastewater surveillance data as a predictor of COVID-19 incidence, Denmark. The prediction is an estimate of the true incidence. The proportion of estimated true cases captured decreased from >80% to ≈20% during 2022.
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