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Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee

Authors

  • Lukasz S Wylezinski Decode Health, Inc. and IQuity Labs, Inc, Nashville, Tennessee, USADepartment of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA PubMed articlesGoogle scholar articles
  • Coleman R Harris Decode Health, Inc. and IQuity Labs, Inc, Nashville, Tennessee, USADepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA PubMed articlesGoogle scholar articles
  • Cody N Heiser Decode Health, Inc. and IQuity Labs, Inc, Nashville, Tennessee, USAProgram in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA PubMed articlesGoogle scholar articles
  • Jamieson D Gray Decode Health, Inc. and IQuity Labs, Inc, Nashville, Tennessee, USA PubMed articlesGoogle scholar articles
  • Charles F Spurlock Decode Health, Inc. and IQuity Labs, Inc, Nashville, Tennessee, USADepartment of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USAWagner School of Public Health, New York University, New York, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Charles F Spurlock; chase.spurlock{at}vanderbilt.edu
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Citation

Wylezinski LS, Harris CR, Heiser CN, et al
Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee
BMJ Health & Care Informatics 2021;28:e100439. doi: 10.1136/bmjhci-2021-100439

Publication history

  • Received July 1, 2021
  • Accepted September 6, 2021
  • First published September 27, 2021.
Online issue publication 
July 06, 2022

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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© 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. http://creativecommons.org/licenses/by-nc/4.0/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/.