A distributed geospatial approach to describe community characteristics for multisite studies.

Area of Science:

• Environmental Health
• Epidemiology
• Geospatial Health

Background:

• Understanding place-based health determinants necessitates diverse study populations.
• Sharing precise location data is a major hurdle for multisite health research.
• Existing methods lack standardization for cross-site geospatial analysis.

Purpose of the Study:

• To present a standardized, reproducible method for geospatial analysis in multisite studies.
• To facilitate the integration of location-based health data across diverse research cohorts.
• To overcome data sharing challenges in collaborative translational health research.

Main Methods:

• Developed geocoding and geospatial data linkage software using census tract information.
• Distributed the software to a US-based consortium of birth cohorts.
• Collected tract-level data from 8810 children across multiple sites for central analysis.

Main Results:

• Successfully implemented a standardized geospatial analysis workflow across 8810 children from diverse birth cohorts.
• Demonstrated the feasibility of tract-level data linkage and analysis in a multisite setting.
• Generated valuable geospatial health data for collaborative research initiatives.

Conclusions:

• The developed method is generalizable and effective for multisite geospatial health studies.
• This approach enhances the potential for collaborative translational research by enabling data sharing.
• Standardized geospatial analysis is crucial for advancing our understanding of place-based health influences.