Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36238, first published .
Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing

Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing

Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing

Kashif Ahmad   1 , PhD ;   Firoj Alam   2 , PhD ;   Junaid Qadir   3 , PhD ;   Basheer Qolomany   4 , PhD ;   Imran Khan   5 , MSc ;   Talhat Khan   5 , MSc ;   Muhammad Suleman   5 , MSc ;   Naina Said   5 , MSc ;   Syed Zohaib Hassan   6 , MSc ;   Asma Gul   7 , PhD ;   Mowafa Househ   1 , PhD ;   Ala Al-Fuqaha   1 , PhD

1 Information and Computing Technology Division, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

2 Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

3 Department of Computer Science and Engineering, Faculty of Engineering, Qatar University, Doha, Qatar

4 Department of Cyber Systems, University of Nebraska, Kearney, NE, United States

5 Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar, Pakistan

6 Department of Holistic Systems, SimulaMet, Oslo, Norway

7 Department of Statistics, Shaheed Benazir Bhutto Women University, Peshawar, Pakistan

Corresponding Author:

  • Ala Al-Fuqaha, PhD
  • Information and Computing Technology Division
  • College of Science and Engineering
  • Hamad Bin Khalifa University
  • LAS Building
  • Education City
  • Doha, 000
  • Qatar
  • Phone: 974 50694322
  • Email: aalfuqaha@hbku.edu.qa