Published on in Vol 24 , No 12 (2022) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39340, first published .
A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study

A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study

A Novel Approach to Characterize State-level Food Environment and Predict Obesity Rate Using Social Media Data: Correlational Study

Chuqin Li 1 , PhD ;   Alexis Jordan 1 , BSc ;   Jun Song 2 , PhD ;   Yaorong Ge 1 , PhD ;   Albert Park 1 , PhD

1 Department of Software and Information Systems, College of Computing and Informatics , University of North Carolina at Charlotte , Charlotte , NC , US

2 Department of Statistics , Korea University , Seoul , KR

Corresponding Author:

  • Albert Park, PhD
  • Department of Software and Information Systems, College of Computing and Informatics
  • University of North Carolina at Charlotte
  • 9201 University Blvd
  • Charlotte, NC
  • US
  • Phone: 1 704 687 8668
  • Email: al.park@uncc.edu