Published on in Vol 23 , No 9 (2021) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30854, first published .
Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Tao Hu 1, 2 * , PhD ;   Siqin Wang 3 * , PhD ;   Wei Luo 4 * , PhD ;   Mengxi Zhang 5 , PhD ;   Xiao Huang 6 , PhD ;   Yingwei Yan 4 , PhD ;   Regina Liu 7 , BSc ;   Kelly Ly 8 , BSc ;   Viraj Kacker 9 , BSc ;   Bing She 10 , PhD ;   Zhenlong Li 11 , PhD

1 Department of Geography , Oklahoma State University , Stillwater , OK , US

2 Center for Geographic Analysis , Harvard University , Cambridge , MA , US

3 School of Earth and Environmental Sciences , University of Queensland , Brisbane , AU

4 Department of Geography , National University of Singapore , Singapore , SG

5 Department of Nutrition and Health Science , Ball State University , Muncie , IN , US

6 Department of Geosciences , University of Arkansas , Fayetteville , AR , US

7 Department of Biology , Mercer University , Macon , GA , US

8 Department of Computer Science , University of Massachusetts Lowell , Lowell , MA , US

9 College of Computing , Georgia Institute of Technology , Atlanta , GA , US

10 Institute for Social Research , University of Michigan , Ann Arbor , MI , US

11 Geoinformation and Big Data Research Laboratory , Department of Geography , University of South Carolina , Columbia , SC , US

*these authors contributed equally

Corresponding Author:

  • Wei Luo, PhD
  • Department of Geography
  • National University of Singapore
  • 1 Arts Link, #04-32 Block AS2
  • Singapore
  • SG
  • Phone: 65 65163851
  • Email: geowl@nus.edu.sg