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.

(2020). The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being . Retrieved from https://hdl.handle.net/10446/316955

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

Pala, Daniele;
2020-01-01

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.
2020
Inglese
The Impact of Digital Technologies on Public Health in Developed and Developing Countries. 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings
Jmaiel, Mohamed; Mokhtari, Mounir; Abdulrazak, Bassam; Aloulou, Hamdi; Kallel, Slim
9783030515164
978-3-030-51517-1
12157
423
431
cartaceo
online
Switzerland
Cham
Springer
ICOST 2020: 18th International Conference On Smart Living and Public Health, Hammamet, Tunisia, 24-26 June 2020
18th
Hammamet, Tunisia
24-26 June 2020
internazionale
Settore IBIO-01/A - Bioingegneria
Air pollution; Health; Data platform; Participation
info:eu-repo/semantics/conferenceObject
7
Vito, Domenico; Ottaviano, Manuel; Bellazzi, Riccardo; Larizza, Cristiana; Casella, Vittorio; Pala, Daniele; Franzini, Marica
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
open
Non definito
273
(2020). The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being . Retrieved from https://hdl.handle.net/10446/316955
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/316955
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