A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation

no code implementations • 3 Jul 2023 • Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Şerban

This paper proposes a novel approach to predict epidemiological parameters by integrating new real-time signals from various sources of information, such as novel social media-based population density maps and Air Quality data.

Decision Making