Although for decades there have been multiple studies on the association of asthma with factors such as weather conditions, pollution, pollen and the social condition of patients, the GeoAsma project aims to advance the study of environmental factors that influence the health of asthmatic patients by combining BigData technology and data mining analysis, Geographic Information Systems and open data provided by official sources with data from the Electronic Health Record of the Andalusian Health System, that provides healthcare services to more than 8,000,000 citizens.~This project aims to study through data mining techniques and multilevel analysis the influence of clinical and environmental factors: pollen level, air pollution, atmospheric conditions and social determinants in more than 800,000 asthmatic patients during the last 15 years in Andalusia, the southernmost region of Spain. It is expected that the results of this study will serve to define predictive models that will help professionals and patients in our region to make decisions.~After the validation of the models, a decision support system will be implemented in a web platform and in a mobile application. Its impact on the reduction of exacerbations, control, quality of life and resource consumption of asthmatic patients will be analysed. This evaluation will be carried out through a pilot with 214 patients with a follow-up period of 12 months with asthma in the hospitals participating in this proposal.
GeoAsma is a study for the definition, validation and evaluation of predictive models on the influence of the environment on asthmatic patients in Andalusia.