ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2026
Mapping the Storm: Linking Tornado Paths to Emergency Room Surges Through Geocoded Patient Data.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural disasters, such as tornadoes, pose significant challenges to public health systems, often resulting in acute increases in emergency department utilization. This study examines healthcare utilization patterns in response to the May 16th St. Louis tornado and the use of geocoding in retrospective and modeling of healthcare demand in the context of severe weather. The primary objectives are to define the tornado's trajectory and affected geographic areas, quantify changes in emergency room (ER) visit volumes during pre-disaster and post-disaster periods, and assess the spatial association between patient proximity to the tornado's path and the likelihood of ER utilization for specific health events. De-identified patient data were extracted from Washington University School of Medicine's electronic health record system. HIPAA-compliant geocoding was used to convert patient addresses into latitude and longitude coordinates, enabling distance calculations from each patient to the tornado's path.
Identifiers
42317860PMC13274373What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.