ArticleJournal of medical Internet research2026
Health Atlas: Tutorial of a Visualization Tool and Data Resource for Place-Based Social and Structural Determinants of Health.
Article in Journal of medical Internet research, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Unlabelled: Places have a significant impact on health. Thus, examining place-based structural and social determinants can help inform effective public health interventions. HealthAtlas.ucsf.edu provides a single online platform to explore multiple domains of place-based data. The initial California-only version of Health Atlas was launched in April 2020, and a national version was launched in October 2024. An artificial intelligence-assisted search function was integrated in January 2026. Health Atlas includes data on over 200 variables across 5 topical domains: demographics, socioeconomic, neighborhood, environment, and health and health care. The data were either (1) obtained from the American Community Survey, CDC PLACES, and other public sources or (2) obtained through collaboration with research partners. Users can visualize and aggregate data for 7 geographic levels: census tract, zip code tabulation area, county, congressional district, core-based statistical area, public use microdata area, and state. Most variables are available across all 50 states in the United States, the District of Columbia, and Puerto Rico. Users can explore Health Atlas to better understand the relationship between selected variables via maps, histograms, scatterplots, and summary plots. Users can select custom areas to suit specific needs. Customizable datasets can be downloaded for further use. Health Atlas provides freely available, user-friendly data and tools to support researchers, community organizations, government entities, and other public health professionals. We envision that Health Atlas will contribute to evidence-based, community-based initiatives; impactful health equity research; and effective public health programs.
Indexed as
Identifiers
What 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.