Bruce Pell, Fuqing Wu
The integration of data with epidemic models is critical for gaining insights into the transmission of infectious diseases and for developing effective public health interventions. However, the process can be impeded by various challenges, including the availability and quality of data, as well as the complexity of models. To address these issues, we propose a mini-symposium that will bring together experts in mathematical modeling, epidemiology and environmental science. The symposium will provide a platform for sharing and discussing innovative approaches to data integration, such as the use of wastewater data. Additionally, the symposium will address the challenges of incorporating such data into dynamic models.