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Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach

The growth of the urban population together with a high concentration of air pollution have important health impacts on citizens who are exposed to them, causing serious risks of the development and evolution of different chronic diseases. This paper presents the design and development of a novel pa...

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Autores principales: Ottaviano, Manuel, Beltrán-Jaunsarás, María Eugenia, Teriús-Padrón, José Gabriel, García-Betances, Rebeca I., González-Martínez, Sergio, Cea, Gloria, Vera, Cecilia, Cabrera-Umpiérrez, María Fernanda, Arredondo Waldmeyer, María Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651822/
https://www.ncbi.nlm.nih.gov/pubmed/31277344
http://dx.doi.org/10.3390/s19132940
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author Ottaviano, Manuel
Beltrán-Jaunsarás, María Eugenia
Teriús-Padrón, José Gabriel
García-Betances, Rebeca I.
González-Martínez, Sergio
Cea, Gloria
Vera, Cecilia
Cabrera-Umpiérrez, María Fernanda
Arredondo Waldmeyer, María Teresa
author_facet Ottaviano, Manuel
Beltrán-Jaunsarás, María Eugenia
Teriús-Padrón, José Gabriel
García-Betances, Rebeca I.
González-Martínez, Sergio
Cea, Gloria
Vera, Cecilia
Cabrera-Umpiérrez, María Fernanda
Arredondo Waldmeyer, María Teresa
author_sort Ottaviano, Manuel
collection PubMed
description The growth of the urban population together with a high concentration of air pollution have important health impacts on citizens who are exposed to them, causing serious risks of the development and evolution of different chronic diseases. This paper presents the design and development of a novel participatory citizen science-based application and data ecosystem model. These developments are imperative and scientifically designed to gather and process perceptual sensing of urban, environmental, and health data. This data acquisition approach allows citizens to gather and generate environment- and health-related data through mobile devices. The sum of all citizens’ data will continuously enrich and increase the volumes of data coming from the city sensors and sources across geographical locations. These scientifically generated data, coupled with data from the city sensors and sources, will enable specialized predictive analytic solutions to empower citizens with urban, environmental, and health recommendations, while enabling new data-driven policies. Although it is difficult for citizens to relate their personal behaviour to large-scale problems such as climate change, pollution, or public health, the developed ecosystem provides the necessary tools to enable a greener and healthier lifestyle, improve quality of life, and contribute towards a more sustainable local environment.
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spelling pubmed-66518222019-08-08 Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach Ottaviano, Manuel Beltrán-Jaunsarás, María Eugenia Teriús-Padrón, José Gabriel García-Betances, Rebeca I. González-Martínez, Sergio Cea, Gloria Vera, Cecilia Cabrera-Umpiérrez, María Fernanda Arredondo Waldmeyer, María Teresa Sensors (Basel) Article The growth of the urban population together with a high concentration of air pollution have important health impacts on citizens who are exposed to them, causing serious risks of the development and evolution of different chronic diseases. This paper presents the design and development of a novel participatory citizen science-based application and data ecosystem model. These developments are imperative and scientifically designed to gather and process perceptual sensing of urban, environmental, and health data. This data acquisition approach allows citizens to gather and generate environment- and health-related data through mobile devices. The sum of all citizens’ data will continuously enrich and increase the volumes of data coming from the city sensors and sources across geographical locations. These scientifically generated data, coupled with data from the city sensors and sources, will enable specialized predictive analytic solutions to empower citizens with urban, environmental, and health recommendations, while enabling new data-driven policies. Although it is difficult for citizens to relate their personal behaviour to large-scale problems such as climate change, pollution, or public health, the developed ecosystem provides the necessary tools to enable a greener and healthier lifestyle, improve quality of life, and contribute towards a more sustainable local environment. MDPI 2019-07-03 /pmc/articles/PMC6651822/ /pubmed/31277344 http://dx.doi.org/10.3390/s19132940 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ottaviano, Manuel
Beltrán-Jaunsarás, María Eugenia
Teriús-Padrón, José Gabriel
García-Betances, Rebeca I.
González-Martínez, Sergio
Cea, Gloria
Vera, Cecilia
Cabrera-Umpiérrez, María Fernanda
Arredondo Waldmeyer, María Teresa
Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach
title Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach
title_full Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach
title_fullStr Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach
title_full_unstemmed Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach
title_short Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach
title_sort empowering citizens through perceptual sensing of urban environmental and health data following a participative citizen science approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651822/
https://www.ncbi.nlm.nih.gov/pubmed/31277344
http://dx.doi.org/10.3390/s19132940
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