Participatory, Virologic, and Wastewater Surveillance Data to Assess Underestimation of COVID-19 Incidence, Germany, 2020-2024.

Anna LoenenbachAnn-Sophie LehfeldPeter PuetzBarbara BiereSusan AbunijelaSilke BudaMichaela DierckeRalf DürrwaldTimo GreinerWalter HaasMaria HelmrichKerstin PrahmJakob SchumacherMarianne WeddeUdo Buchholz

Published in: Emerging infectious diseases (2024)

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.

Keyphrases

coronavirus disease
sars cov
public health
risk factors
electronic health record
wastewater treatment
hiv infected
big data
antiretroviral therapy
machine learning
anaerobic digestion
artificial intelligence