Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case

Andrea Marinoni, Arianna Dagliati, Riccardo Bellazzi, Paolo Gamba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3937-3940
Number of pages4
Volume2015-November
ISBN (Print)9781479979295
DOIs
Publication statusPublished - Nov 10 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: Jul 26 2015Jul 31 2015

Other

OtherIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period7/26/157/31/15

Keywords

  • aerosol pollution
  • Air quality maps
  • Big Data
  • human-environment interaction

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications

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