The U.S. Covid Atlas
The US COVID Atlas is a visualization tool led by a University of Chicago research coalition. In a quickly changing pandemic landscape, our tool connects COVID case data and community indicators across the United States from its beginning to today. The Atlas helps you access current, validated county-level data and spatial analysis to better understand the spread in communities and to bolster planning efforts.
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.
Marynia Kolak, Xun Li, Qinyun Lin, Ryan Wang, Moksha Menghaney, Stephanie Yang, and Vidal Anguino. A Dynamic, Spatiotemporal Cyberinfrastructure Surveillance System for Interactive Exploration of Disease Clusters and Community Context in the COVID-19 Pandemic. Submitted, Under Review.
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
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.