Wastewater as an early indicator for short-term forecasting COVID-19 hospitalization in Germany
Jonas Radermacher; Steffen Thiel; Aimo Kannt; Holger Fröhlich · 2025 · BMC Public Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Background The COVID-19 pandemic has profoundly affected daily life and posed significant challenges for politics, the economy, and the education system. To better prepare for such situations and implement effective measures, it is crucial to accurately assess, monitor, and forecast the progression of a pandemic. This study examines the potential of integrating wastewater surveillance data to enhance an autoregressive COVID-19 forecasting model for Germany and its federal states. Methods First, we explore the cross-correlations between SARS-CoV-2 viral RNA load measured in wastewater
Abstract by Jonas Radermacher; Steffen Thiel; Aimo Kannt; Holger Fröhlich, BMC Public Health (2025) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1186/s12889-025-24149-2