The results are further investigated by means of a cluster analysis. The parameters of the algorithms have been defined by an optimization procedure aiming for performance metrics. In this paper we investigate 13 smoothing algorithms applied to the virus signals monitored in four wastewater treatment plants in Austria. It is thus helpful to apply data filtering techniques to reduce the noise in the signal. dilutions number of people discharging variations in virus excretion water consumption per day transport and fate processes in sewer system), the subsequent prevalence analysis may result in misleading conclusions. However, due to the intrinsic random fluctuations of the viral signal in wastewater caused by several influencing factors that cannot be determined in detail (e.g. ![]() In the case of SARS-CoV-2 pandemic management, wastewater-based epidemiology aims to derive information on the infection dynamics by monitoring virus concentrations in the wastewater.
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