Participatory, Virologic, and Wastewater Surveillance Data to Assess Underestimation of COVID-19 Incidence, Germany, 2020–2024
oleh: Anna Loenenbach, Ann-Sophie Lehfeld, Peter Puetz, Barbara Biere, Susan Abunijela, Silke Buda, Michaela Diercke, Ralf Dürrwald, Timo Greiner, Walter Haas, Maria Helmrich, Kerstin Prahm, Jakob Schumacher, Marianne Wedde, Udo Buchholz
| Format: | Article |
|---|---|
| Diterbitkan: | Centers for Disease Control and Prevention 2024-09-01 |
Deskripsi
Using participatory, virologic, and wastewater surveillance systems, we estimated when and to what extent reported data of adult COVID-19 cases underestimated COVID-19 incidence in Germany. We also examined how case underestimation evolved over time. Our findings highlight how community-based surveillance systems can complement official notification systems for respiratory disease dynamics.