Translational data analytics in exposure science and environmental health: a citizen science approach with high school students.
Background: Translational data analytics aims to apply data analytics principles and techniques to bring about broader societal or human impact. Translational data analytics for environmental health is an emerging discipline and the objective of this study is to describe a real-world example of this...
| Publicado en: | Environmental Health: A Global Access Science Source Vol. 19; no. 1; pp. 1 - 13 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
7/1/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144339189&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144339189 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1476069X 1CNO jtl: Environmental Health: A Global Access Science Source issn: 1476069X maglogo: N pubinfo: dt: 7/1/2020 vid: 19 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 144339189 144339189 NLM32611428 144339189 10.1186/s12940-020-00627-5 NLM32611428 144339189 ppf: 1 ppct: 12 formats: tig: atl: Translational data analytics in exposure science and environmental health: a citizen science approach with high school students. aug: au: Hyder, Ayaz May, Andrew A. affil: Division of Environmental Health Sciences, College of Public Health, The Ohio State University, 1841 Neil Ave., Cunz Hall, Room 380D, 43210, Columbus, OH, USA sug: subj: Environmental Exposure Environmental Health Methods Adolescence Students Schools Air Pollution Analysis Human Environmental Monitoring Methods Validation Studies Comparative Studies Evaluation Research Multicenter Studies Arthritis Impact Measurement Scales Ferrans and Powers Quality of Life Index Impact of Events Scale Scales Adolescent: 13-18 years ab: Background: Translational data analytics aims to apply data analytics principles and techniques to bring about broader societal or human impact. Translational data analytics for environmental health is an emerging discipline and the objective of this study is to describe a real-world example of this emerging discipline.Methods: We implemented a citizen-science project at a local high school. Multiple cohorts of citizen scientists, who were students, fabricated and deployed low-cost air quality sensors. A cloud-computing solution provided real-time air quality data for risk screening purposes, data analytics and curricular activities.Results: The citizen-science project engaged with 14 high school students over a four-year period that is continuing to this day. The project led to the development of a website that displayed sensor-based measurements in local neighborhoods and a GitHub-like repository for open source code and instructions. Preliminary results showed a reasonable comparison between sensor-based and EPA land-based federal reference monitor data for CO and NOx.Conclusions: Initial sensor-based data collection efforts showed reasonable agreement with land-based federal reference monitors but more work needs to be done to validate these results. Lessons learned were: 1) the need for sustained funding because citizen science-based project timelines are a function of community needs/capacity and building interdisciplinary rapport in academic settings and 2) the need for a dedicated staff to manage academic-community relationships. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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