ArticleSensors (Basel, Switzerland)2019
Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed, 40 citations in OpenAlex.
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- Caregivers' perspectives on the in-home implementation and effectiveness of "Miffy eats the rainbow!": a colorful, modeling- and reward-based intervention to improve fruit and vegetable intake in children.Frontiers in public health · 2025Article
- Potential of citizen science to advance urban planetary health research in low and middle-income countries: A scoping review.PLOS global public health · 2025Article
- Portable Arduino-Based Multi-Sensor Device (SBEDAD): Measuring the Built Environment in Street Cycling Spaces.Sensors (Basel, Switzerland) · 2024Article
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- Children in All Policies (CAP) 2030 Citizen Science for Climate Change Resilience: a cross-sectional pilot study engaging adolescents to study climate hazards, biodiversity and nutrition in rural Nepal.Wellcome open research · 2023Article
- Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Monitoring Particulate Matter with Wearable Sensors and the Influence on Student Environmental Attitudes.Sensors (Basel, Switzerland) · 2022Article
- A Scoping Review of Citizen Science Approaches in Chronic Disease Prevention.Frontiers in public health · 2022Article
- Bio-Ethics and One Health: A Case Study Approach to Building Reflexive Governance.Frontiers in public health · 2022Article
- Combining the Digital, Social and Physical Layer to Create Age-Friendly Cities and Communities.International journal of environmental research and public health · 2021Article
- Addressing practical issues of predictive models translation into everyday practice and public health management: a combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions.BMJ open diabetes research & care · 2020Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.