ArticleJournal of clinical and translational science2021
A distributed geospatial approach to describe community characteristics for multisite studies.
Article in Journal of clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Child Opportunity Index at birth and asthma with recurrent exacerbations in the US ECHO program.The Journal of allergy and clinical immunology · 2025Article
- Observational birth cohorts for causal and predictive inference: The example of childhood asthma and allergic diseases.The Journal of allergy and clinical immunology · 2025Review
- Integrating geospatial data with birth cohorts to explore social determinants of health and asthma.The Journal of allergy and clinical immunology · 2025Review
- The Legacy of Redlining: Increasing Childhood Asthma Disparities through Neighborhood Poverty.American journal of respiratory and critical care medicine · 2024Article
- Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions.Journal of clinical and translational science · 2024Article
- High Resolution and Spatiotemporal Place-Based Computable Exposures at Scale.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
Understanding place-based contributors to health requires geographically and culturally diverse study populations, but sharing location data is a significant challenge to multisite studies. Here, we describe a standardized and reproducible method to perform geospatial analyses for multisite studies. Using census tract-level information, we created software for geocoding and geospatial data linkage that was distributed to a consortium of birth cohorts located throughout the USA. Individual sites performed geospatial linkages and returned tract-level information for 8810 children to a central site for analyses. Our generalizable approach demonstrates the feasibility of geospatial analyses across study sites to promote collaborative translational research.
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Registered trials
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