Abstract
Despite the silent effects sometimes hidden to the major audience, air pollution is becoming one of the most impactful threat to global health. Cities are the places where deaths due to air pollution are concentrated most. In order to correctly address intervention and prevention thus is essential to assest the risk and the impacts of air pollution spatially and temporally inside the urban spaces. PULSE aims to design and build a large-scale data management system enabling real time analytics of health, behaviour and environmental data on air quality. The objective is to reduce the environmental and behavioral risk of chronic disease incidence to allow timely and evidence-driven management of epidemiological episodes linked in particular to two pathologies; asthma and type 2 diabetes in adult populations. developing a policy-making across the domains of health, environment, transport, planning in the PULSE test bed cities.
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Vito, D., Ottaviano, M., Bellazzi, R., Larizza, C., Casella, V., Pala, D., & Franzini, M. (2020). The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12157 LNCS, pp. 423–431). Springer. https://doi.org/10.1007/978-3-030-51517-1_39
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