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Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel
Aweke A Mitku1,2, Temesgen Zewotir3, Delia North3
1School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa. mitkua@ukzn.ac.za.
Scientific Reports
|May 2, 2020
Summary
Parallel coordinates plots reveal patterns in complex health data. This visualization technique identified links between prenatal nitrogen oxides exposure and adverse infant outcomes in a South African birth cohort.
Area of Science:
- Environmental Health
- Biostatistics
- Data Visualization
Background:
- Multidimensional health data presents challenges for pattern discovery.
- Interactive data visualization tools are crucial for health sciences research.
- Birth cohort studies generate complex datasets requiring advanced analytical methods.
Purpose of the Study:
- To demonstrate the utility of parallel coordinates plots for exploring multidimensional health data.
- To investigate patterns and relationships between prenatal environmental exposures and birth outcomes.
- To showcase interactive data analysis techniques for cohort studies.
Main Methods:
- Retrospective analysis of data from the Mother and Child in the Environment birth cohort (Durban, South Africa, 2013-2017).
- Application of parallel coordinates plots for visualizing multivariate relationships.
- Utilized brushing techniques with distinct colors to identify data patterns and outliers.
- Explored associations between prenatal oxides of nitrogen (NOx) exposure and birth outcomes.
Main Results:
- Parallel coordinates plots effectively revealed trends, outliers, and quality issues in large datasets.
- Identified a co-occurrence of adverse birth outcomes in infants born to mothers with moderate to high NOx exposure.
- Brushing facilitated the detection of complex patterns, aiding statistical analysis.
- Discovered trends suggesting directions for future research in environmental health.
Conclusions:
- Parallel coordinates plots are a powerful tool for interactive analysis of multidimensional health data.
- The study highlights potential links between prenatal NOx exposure and adverse infant health.
- Visualization techniques like parallel coordinates plots enhance researchers' ability to uncover critical health trends and relationships.

