Abstract
Recent developments in data acquisition, storage, mining and maintenance have allowed the flourishing of several multi-disciplinary research fields, which can be stated, defined and carried out according to the so-called Big Data paradigm. In this environment, the investigation and analysis of interactions between human phenomena and natural events play a key-role, as they can be fundamental for several applications, from sustainable development to community policy design and short-, medium- and long-range resource allocation planning. In this paper, we provide a study of the interplay between air pollution (as estimated by remotely sensed data processing) and clinical records, so that inferences and correlations among black particulate concentration, micro- and macro-vascular disease onsets and hospitalization tracks can be efficiently drawn. We focused on the second order administrative area of the city of Pavia, Italy, on 2013. Experimental results show how effective connections between the estimated air quality and the hospitalizations behavior can be accurately drawn and derived.
Original language | English |
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Title of host publication | International Geoscience and Remote Sensing Symposium (IGARSS) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3937-3940 |
Number of pages | 4 |
Volume | 2015-November |
ISBN (Print) | 9781479979295 |
DOIs | |
Publication status | Published - Nov 10 2015 |
Event | IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy Duration: Jul 26 2015 → Jul 31 2015 |
Other
Other | IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 |
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Country/Territory | Italy |
City | Milan |
Period | 7/26/15 → 7/31/15 |
Keywords
- aerosol pollution
- Air quality maps
- Big Data
- human-environment interaction
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Computer Science Applications