Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Sep 27;28(1):e100439. doi: 10.1136/bmjhci-2021-100439

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

PMC Copyright notice

Social determinants of health (SDOH) linked to COVID-19 case growth in Tennessee dynamically shift in importance over time. SDOH include social, physical and environmental factors that impact community health such as age, race, gender, access to transportation, access to primary care and community vaccination rates. Twelve of these SDOH features demonstrated the highest feature importance across all predictive models during the study period. Size and color are used to emphasize SDOH feature importance at each time point. large, red () bubbles connote the top ranked SDOH feature while small dark blue () bubbles signify least importance of a given feature at each time point. Black bubbles () represent the least important feature at each time point compared with the other top ranked SDOH data elements.

Inline graphic — Social determinants of health (SDOH) linked to COVID-19 case growth in Tennessee dynamically shift in importance over time. SDOH include social, physical and environmental factors that impact community health such as age, race, gender, access to transportation, access to primary care and community vaccination rates. Twelve of these SDOH features demonstrated the highest feature importance across all predictive models during the study period. Size and color are used to emphasize SDOH feature importance at each time point. large, red () bubbles connote the top ranked SDOH feature while small dark blue () bubbles signify least importance of a given feature at each time point. Black bubbles () represent the least important feature at each time point compared with the other top ranked SDOH data elements.