Pilot study - We are developing a pilot study in Catalonia to understand the relationship between mobility, air quality and health. Our objective is to show the possibilities of the integrated use of real and dynamic data, and its potential applicability in other communities.

Mobility data - We combine population mobility data with exposure to different levels of air quality and the incidence of different diseases. This allows us to identify exposure sources that guide preventive measures.

Effective interventions - The results of the analysis will serve as support for decision-making in the design and implementation of effective interventions that improve people’s health and well-being.

Cities are centres of great human activity that provide a large number of services to their inhabitants. However, this great activity is accompanied by the high production of pollutants, which reduces air quality and harms health and well-being.

To identify the most affected areas, high-resolution air quality analyses are carried out along with health reports on the incidence of diseases by area. However, these data present a great limitation as they do not consider population mobility. Most of the activities that people carry out in the city involve moving between different areas, therefore, to estimate exposure, it is key to understand population mobility patterns throughout the day. Merging all these data is a complex process that involves intensive computing resources not available to many administrations.