The objective of this project is to build monitoring and prediction tools for the early detection of future epidemic outbreaks, capable of providing the necessary information to take more effective containment and mitigation actions than the current ones. To do this, we are participating in the construction and evaluation of a mathematical model to compare and predict specific patterns of epidemics. In particular, the GRECS group is in charge of studying the role that socioeconomic and environmental variables can have in this model and calibrating their effect on it.

This project aims, on the one hand, to improve the understanding of the spread of pandemics thanks to the inclusion of more precise clinical, mobile, and climatological data, and on the other, to provide public health organizations with a system of Decision-making support based on innovative epidemiological models that allow them to anticipate and draw up a plan to face epidemics, as well as improve the management of public resources in areas such as the health system, mobility, education, etc. , adapting them to real needs.