This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Machine Learning (1370) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20493, first published .
Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Authors of this article:

Aravind Sesagiri Raamkumar1 Author Orcid Image ;   Soon Guan Tan1 Author Orcid Image ;   Hwee Lin Wee1, 2 Author Orcid Image
Article Authors Cited by (58) Tweetations (6) Metrics

Aravind Sesagiri Raamkumar   1 , BTech, MSc, PhD ;   Soon Guan Tan   1 , BSc ;   Hwee Lin Wee   1, 2 , BSc, PhD

1 Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore

2 Department of Pharmacy, National University of Singapore, Singapore, Singapore

Corresponding Author:

  • Aravind Sesagiri Raamkumar, BTech, MSc, PhD
  • Saw Swee Hock School of Public Health
  • National University of Singapore
  • 12 Science Drive 2, #10-01
  • Singapore, 117549
  • Singapore
  • Phone: 65 6516 4988
  • Email: ephsra@nus.edu.sg