SARS-CoV2 amplicons from wastewater and synthetic

Wastewater-based epidemiology (WBE) has been extensively used during the COVID-19 pandemic to detect and monitor the spread of the SARS-CoV-2 virus and its variants. It has also proven to be an excellent tool to complement and support insights gained from reported clinical data. Globally, many groups have developed bioinformatics pipelines to analyse sequencing data from wastewater. Accurate calling of mutations from RNA extracted from wastewater samples is key in supporting clinical data to make informed decisions on the prevalence of variants, as well as in the use of WBE as a molecular surveillance tool. Samples described in this study comprise synthetic mixtures of samples or wastewater samples amplified and sequenced using Artic v3, Nimagen v2 and Nimagen v3 protocol.