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The US Covid Atlas project works to understand, archive, and represent
the often unequal impact of the pandemic in the United States.

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The US Covid Atlas is a free and open-source data visualization tool, led by the Healthy Regions + Policies Lab and Center for Spatial Data Science at University of Chicago, that connects COVID case data and community indicators across the United States from its beginning to today. Our mission is to understand, archive, and represent the often unequal impact of the COVID-19 pandemic in the United States. The Atlas provides analytics and spatial statistics for community health data, builds open-source, community-engaged data tools, and generates public health insights toward furthering spatial and racial equity.

In addition to developing the application and generating research insights, we use the Atlas as an exploratory spatial data analysis framework to better understand how COVID-19 impacts different communities, in different ways. Forthcoming work integrates both research on COVID-resilient communities, but also on the meaningful translation of science to communities and policymakers.

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Learn More

• Explore: Search by county, municipality, or region, or select indicators such as vaccines, cases, or essential worker populations.
• Atlas Insights: Check out the Atlas blog for snapshots and short-form articles of what we’re seeing and how we’re working.
• Download Data: Use this tool for easy access to clean CSV data from the Atlas.

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Publications

The US Covid Atlas team publishes academic and peer-reviewed research and data. Read more at USCovidAtlas.org/Research.

 

Assessment of Structural Barriers and Racial Group Disparities of COVID-19 Mortality With Spatial Analysis

Lin Q, Paykin S, Halpern D, Martinez-Cardoso A, Kolak M. Assessment of Structural Barriers and Racial Group Disparities of COVID-19 Mortality With Spatial Analysis. JAMA Netw Open. 2022;5(3):e220984. doi:10.1001/jamanetworkopen.2022.0984

• Read the Research Brief

Dylan Halpern, Qinyun Lin, Ryan Wang, Stephanie Yang, Steve Goldstein & Marynia Kolak (2021) Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets, Cartography and Geographic Information Science, DOI: 10.1080/15230406.2021.1975311

Xun Li, Qinyun Lin, Marynia Kolak, Dylan Halpern, Stephanie Yang, Moksha Menghaney, Ryan Wang, Vidal Anguiano Jr., Arianna Israel, Robert Martin, Erin Abbott, Sihan-Mao. (2020, October 12). GeoDaCenter/covid: beta (Version beta). Zenodo. http://doi.org/10.5281/zenodo.4081869

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Funding

This project is funded by the Robert Wood Johnson Foundation. Extensions of the Atlas to understand intersections of the opioid epidemic are funded in part by the National Institute on Drug Abuse via the MAARC.

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Collaborators

The Atlas team is extensive, and can be viewed in full here.

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Awards & Recognition

• Fast Company Innovation By Design Pandemic Response – Honorable Mention

• American Association of Geographers Health Data Visualization (Dynamic) – Winner

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News & Updates

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