Health Atlas: Tutorial of a Visualization Tool and Data Resource for Place-Based Social and Structural Determinants of Health - Takeaways - MDSpire

Health Atlas: Tutorial of a Visualization Tool and Data Resource for Place-Based Social and Structural Determinants of Health

  • By

  • Debora L Oh

  • Kathryn E Kemper-McIsaac

  • Dan Meltzer

  • Eric Brelsford

  • Kelsey Taylor

  • Dhananjay Vinay Dixit

  • Andrea Nickerson

  • Riya Desai

  • Salma Shariff-Marco

  • Courtney Lyles

  • Scarlett Gomez

  • Mark J Pletcher

  • Mindy C DeRouen

  • July 9, 2026

  • 0 min

Share

  • 1

    Health outcomes are significantly influenced by place-based social and structural determinants, independent of individual-level factors.

  • 2

    The UCSF Health Atlas provides a centralized online platform for accessing place-based health data across various geographic levels.

  • 3

    Health Atlas includes data on 206 variables across five domains: demographics, socioeconomic, neighborhood, environment, and health care.

  • 4

    Data in Health Atlas are curated from public sources, including the American Community Survey and CDC, ensuring relevance and accessibility.

  • 5

    The Health Atlas development began in 2019, with a national version launched in fall 2024, enhancing data visualization capabilities.

Original Source(s)

Health Atlas: Tutorial of a Visualization Tool and Data Resource for Place-Based Social and Structural Determinants of Health

  • by Debora L Oh, Kathryn E Kemper-McIsaac, Dan Meltzer, Eric Brelsford, Kelsey Taylor, Dhananjay Vinay Dixit, Andrea Nickerson, Riya Desai, Salma Shariff-Marco, Courtney Lyles, Scarlett Gomez, Mark J Pletcher, Mindy C DeRouen

  • July 9, 2026

Related Content

The impact of social influence and perceived value on usage intention of county-level “Internet + Medical Health” services: a moderating analysis of region

Cancer Screening Gaps Seen in Sexual, Gender Minority Groups

A large BRFSS analysis points to persistent screening disparities among sexual orientation and gender identity minority respondents, with particularly large gaps in some gender identity minority groups.

Reframing diagnostic reasoning: the Bayesian imperative in shoulder examination