About: The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being
Creator	Bellazzi, Riccardo Casella, Vittorio Franzini, Marica Larizza, Cristiana Ottaviano, Manuel Pala, Daniele Vito, Domenico
Source	PMC
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.
has issue date	2020-05-31(xsd:dateTime)
bibo:doi	10.1007/978-3-030-51517-1_39
has license	cc-by
sha1sum (hex)	16635f07c8ca9570d3a7c74d472cd4ec88f0681e
schema:url	https://doi.org/10.1007/978-3-030-51517-1_39
resource representing a document's title	The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being
has PubMed Central identifier	PMC7313275
schema:publication	The Impact of Digital Technologies on Public Health in Developed and Developing Countries
resource representing a document's body	covid:16635f07c8ca9570d3a7c74d472cd4ec88f0681e#body_text
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