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Selected Data About Geographic Locations

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Related Experiment Video

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Trajectory Data Analyses for Pedestrian Space-time Activity Study

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High Resolution and Spatiotemporal Place-Based Computable Exposures at Scale.

Erika Rasnick¹, Patrick Ryan^1,2, Jeff Blossom³

¹Cincinnati Children's Hospital Medical Center.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science

|June 23, 2023

Summary

This study enhances the Decentralized Geomarker Assessment for Multisite Studies (DeGAUSS) software to handle large, high-resolution spatiotemporal health exposure data. The updated framework enables scalable geomarker assessment for ambient air pollutants, improving health research accessibility.

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Area of Science:

Environmental Epidemiology
Geospatial Health Informatics

Background:

Place-based exposures, or "geomarkers," significantly influence health outcomes but are understudied due to data access and integration challenges.
Existing Decentralized Geomarker Assessment for Multisite Studies (DeGAUSS) software facilitates reproducible health data analysis across multiple sites but struggles with large, high-resolution spatiotemporal data.

Purpose of the Study:

To expand the DeGAUSS framework for analyzing high-resolution spatiotemporal geomarker data, overcoming limitations of data transport.
To develop scalable and accessible tools for estimating daily ambient air pollutant exposures using advanced geomarker assessment.

Main Methods:

Developed a novel DeGAUSS approach storing data subsets online, enabling local download of relevant information based on location and year for precise exposure assessment.
Created and validated two free, open-source DeGAUSS containers to compute high-resolution, daily ambient air pollutant exposures from published models.

Main Results:

Successfully adapted the DeGAUSS framework to manage and process large-scale, high-resolution spatiotemporal health exposure data.
Validated the computational models for daily ambient air pollutant exposures, demonstrating feasibility for geomarker assessment at scale.

Conclusions:

The enhanced DeGAUSS framework effectively addresses the challenge of analyzing high-resolution spatiotemporal geomarker data, promoting broader use in health research.
The developed open-source tools democratize access to sophisticated exposure assessment, supporting reproducible and scalable environmental health studies.