Abstract
Wastewater-based surveillance (WBS) analyzes human-excreted substances in wastewater to track infectious diseases at the population level. In Belgium, current efforts focus on detecting SARS-CoV-2, respiratory syncytial virus (RSV), and influenza. However, many other potential viral threats remain unmonitored, highlighting the need for a more comprehensive, multi-virus surveillance system. Although existing methods are effective, enhancing virus concentration and detection techniques can further improve accuracy. Expanding genomic surveillance will allow for tracking of viral evolution, while refining predictive modelling can enhance outbreak forecasting. Using our unique wastewater databank from various wastewater stations, and the close collaboration with Sciensano, this project aims to strengthen Belgium's wastewater-based surveillance system by improving virus concentration and extraction methods, expanding genomic surveillance, and strengthening predictive modelling. Ultimately, this project will enhance early detection, outbreak prediction, and public health preparedness, enabling more effective real-time monitoring and response to emerging and re-emerging viral threats.
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