Domino Project: Data Mining and Newborn Outcomes Exploring Environmental Variables

Osornio-Vargas, Álvaro; Zaı̈ane, Osmar R.; Team, DoMiNO; Wine, Osnat

doi:10.1289/isee.2014.p3-607

Cited by 2 publications

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“…We present here the DoMiNO research project (Data Mining & Neonatal Outcomes, 2013-2018) [27], an interdisciplinary research project with knowledge user participation, which investigated co-location of mixtures of environmental pollutants and ABO by using an innovative spatial data mining approach, an embedded collaborative framework and the inclusion of a dedicated evaluation of the collaborative process. DoMiNO's case illustrates the collaborative approach experience in a complex research context of understanding some aspects of the exposome.…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Research Exploration of Pollutant Mixtures and Adverse Birth Outcomes by Using Innovative Spatial Data Mining Methods: The DoMiNO Project

2019

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Environmental health research is gaining interest due to the global concern of environmental factors impacting health. This research is often multifaceted and becomes complex when trying to understand the participation of multiple environmental variables. It requires the combination of innovative research methods, as well as the collaboration of diverse disciplines in the research process. The application of collaborative approaches is often challenging for interdisciplinary teams, and much can be learned from in-depth observation of such processes. We share here a case report describing initial observations and reflections on the collaborative research process of the Data Mining and Neonatal Outcomes (DoMiNO) project (2013–2018), which aimed to explore associations between mixtures of air pollutants and other environmental variables with adverse birth outcomes by using an innovative data mining approach. The project was built on interdisciplinary and user knowledge participation with embedded evaluation framework of its collaborative process. We describe the collaborative process, the benefits and challenges encountered, and provide insights from our experience. We identified that interdisciplinary research requires time and investment in building relationships, continuous learning, and engagement to build bridges between disciplines towards co-production, discovery, and knowledge translation. Learning from interdisciplinary collaborative research experiences can facilitate future research in the challenging field of environmental health.

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Section: Introductionmentioning

confidence: 99%

A Collaborative Research Exploration of Pollutant Mixtures and Adverse Birth Outcomes by Using Innovative Spatial Data Mining Methods: The DoMiNO Project

2019

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Mapping outdoor habitat and abnormally small newborns to develop an ambient health hazard index

2017

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BackgroundThe geography of where pregnant mothers live is important for understanding outdoor environmental habitat that may result in adverse birth outcomes. We investigated whether more babies were born small for gestational age or low birth weight at term to mothers living in environments with a higher accumulation of outdoor hazards.MethodsLive singleton births from the Alberta Perinatal Health Program, 2006–2012, were classified according to birth outcome, and used in a double kernel density estimation to determine ratios of each outcome per total births. Individual and overlay indices of spatial models of 136 air emissions and 18 land variables were correlated with the small for gestational age and low birth weight at term, for the entire province and sub-provincially.ResultsThere were 24 air substances and land sources correlated with both small for gestational age and low birth weight at term density ratios. On the provincial scale, there were 13 air substances and 2 land factors; sub-provincial analysis found 8 additional air substances and 1 land source.ConclusionThis study used a combination of multiple outdoor variables over a large geographic area in an objective model, which may be repeated over time or in other study areas. The air substance-weighted index best identified where mothers having abnormally small newborns lived within areas of potential outdoor hazards. However, individual air substances and the weighted index provide complementary information.

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Domino Project: Data Mining and Newborn Outcomes Exploring Environmental Variables

Cited by 2 publications

References 0 publications

A Collaborative Research Exploration of Pollutant Mixtures and Adverse Birth Outcomes by Using Innovative Spatial Data Mining Methods: The DoMiNO Project

A Collaborative Research Exploration of Pollutant Mixtures and Adverse Birth Outcomes by Using Innovative Spatial Data Mining Methods: The DoMiNO Project

Mapping outdoor habitat and abnormally small newborns to develop an ambient health hazard index

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