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

JMIR Theme Issue: COVID-19 Special Issue (2461) Outbreak and Pandemic Preparedness and Management (1743) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Surveillance Systems (466)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29730, first published .
COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study

COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study

COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study

Authors of this article:

Muhammad Afzal1 Author Orcid Image ;   Maqbool Hussain1 Author Orcid Image ;   Jamil Hussain2 Author Orcid Image ;   Jaehun Bang3 Author Orcid Image ;   Sungyoung Lee3 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Muhammad Afzal   1 , PhD ;   Maqbool Hussain   1 , PhD ;   Jamil Hussain   2 , PhD ;   Jaehun Bang   3 , PhD ;   Sungyoung Lee   3 , PhD

1 Department of Software, Sejong University, 209 Neungdong-ro, Seoul, Republic of Korea

2 Department of Data Science, Sejong University, Seoul, Republic of Korea

3 Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea

Corresponding Author:

  • Muhammad Afzal, PhD
  • Department of Software
  • Sejong University
  • 209 Neungdong-ro
  • Innovation Center
  • Office 422
  • Seoul, 05006
  • Republic of Korea
  • Phone: 82 234082973
  • Email: mafzal@sejong.ac.kr