Data Sciences in the fight against COVID-19: mobility, epidemiological models, predictive models and citizen science

This project will analyze human mobility on a large scale from mobile phone data. This seeks to measure the impact of confinement measures and to what extent it reduces mobility, as well as to identify mobility between different geographic areas of a population and within it. This will serve, for example, to determine the maximum mobility that each health department can absorb before reaching its maximum contagion rate that causes a health collapse. In addition, it will develop computational epidemiological models to determine how the pandemic would spread based on different situations and predictive models on the number of hospitalizations to prepare the necessary resources. The data used for the analysis of mobility will come from the inhabitants of the Valencian Community through a collaboration with the National Institute of Statistics. Finally, it has alarge international citizen survey that already gathers more than 300,000 responses and that seeks to understand the public perception during the health crisis. Five university centers of the Valencian Community and the Foundation for the Promotion of Health and Biomedical Research of the Valencian Community (FISABIO) will participate as collaborating entities, together with the public administration of the autonomous community.