ArticleJAMIA open2025
Mapping the overdose crisis: 6 locations using open medical examiner data.
Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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Who cites it
1 citing paper in PubMed.
- Spatio-Temporal Modeling for Multi-County Opioid Overdose Surveillance: A Unified Graph Convolutional Framework.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Objective: Medical examiners and coroners (ME/C) oversee medicolegal death investigations which determine causes of death and other contextual factors that may have influenced a death. We utilize open data releases from ME/C offices covering 6 different geographic areas to demonstrate the strengths and limitations of ME/C data for forensic epidemiology research. Materials and Methods: We use our novel geoPIPE tool to establish a pipeline that (a) automates ingesting open data releases, (b) geocodes records where possible to yield a spatial component, (c) enhances data with variables useful for overdose research, such as flagging substances contributing to each death, and (d) publishes the enriched data to our open repository. We use results from this pipeline to highlight similarities and differences of overdose data across different sources. Results: Text processing to extract drugs contributing to each death yielded compatible data across all locations. Conversely, geospatial analyses are sometimes incompatible due to differences in available geographic resolution, which range from fine-grain latitude and longitude coordinates to larger regions identified by zip codes. Our pipeline pushes weekly results to an open repository. Discussion: Open ME/C data are highly useful for research on substance use disorders; our visualizations demonstrate the ability to contextualize overdose data within and across specific geographic regions. Furthermore, the spatial component of our results enables clustering of overdose events and accessibility studies for resources related to preventing overdose deaths. Conclusions: Given the utility to public health researchers, we advocate that other ME/C offices explore releasing open data and for policy makers to support and fund transparency efforts.
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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.