Quest for Optimal Regression Models in SARS-CoV-2 Wastewater Based Epidemiology.

ABSTRACT: Wastewater-based epidemiology is a recognised source of information for pandemic management. In this study, we investigated the correlation between a SARS-CoV-2 signal derived from wastewater sampling and COVID-19 incidence values monitored by means of individual testing programs. The dataset used in the study is composed of timelines (duration approx. five months) of both signals at four wastewater treatment plants across Austria, two of which drain large communities and the other two drain smaller communities. Eight regression models were investigated to predict the viral incidence under varying data inputs and pre-processing methods. It was found that population-based normalisation and smoothing as a pre-processing of the viral load data significantly influence the fitness of the regres

SUBMITTER: Aberi P 

PROVIDER: S-EPMC8535556 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature