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  4. Statistical analysis of three data sources for Covid-19 monitoring in Rhineland-Palatinate, Germany
 
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2024
Journal Article
Title

Statistical analysis of three data sources for Covid-19 monitoring in Rhineland-Palatinate, Germany

Abstract
In Rhineland-Palatinate, Germany, a system of three data sources has been established to track the Covid-19 pandemic. These sources are the number of Covid-19-related hospitalizations, the Covid-19 genecopies in wastewater, and the prevalence derived from a cohort study. This paper presents an extensive comparison of these parameters. It is investigated whether wastewater data and a cohort study can be valid surrogate parameters for the number of hospitalizations and thus serve as predictors for coming Covid-19 waves. We observe that this is possible in general for the cohort study prevalence, while the wastewater data suffer from a too large variability to make quantitative predictions by a purely data-driven approach. However, the wastewater data and the cohort study prevalence are able to detect hospitalizations waves in a qualitative manner. Furthermore, a detailed comparison of different normalization techniques of wastewater data is provided.
Author(s)
Pilz, Maximilian
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Küfer, Karl-Heinz  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Mohring, Jan  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Münch, Johanna  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Wlazlo, Jaroslaw  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Leithäuser, Neele  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Journal
Scientific Reports  
Open Access
DOI
10.1038/s41598-024-60973-z
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
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