Published on in Vol 8, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35266, first published .
Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries

Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries

Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries

Jingwei Li   1, 2 , PhD ;   Wei Huang   3, 4, 5 , PhD ;   Choon Ling Sia   1 , PhD ;   Zhuo Chen   6, 7 , PhD ;   Tailai Wu   8 , PhD ;   Qingnan Wang   2 , PhD

1 Department of Information Systems, City University of Hong Kong, Hong Kong , China

2 School of Management, Xi’an Jiaotong University , Xi'an, China

3 College of Business, Southern University of Science and Technology, Shenzhen, China

4 National Center for Applied Mathematics Shenzhen, Shenzhen, China

5 Department of Information Systems and Intelligent Business, School of Management, Xi’an Jiaotong University, Xi'an, China

6 College of Public Health, University of Georgia, Athens, GA, United States

7 School of Economics, University of Nottingham Ningbo China, Ningbo, China

8 School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Corresponding Author:

  • Wei Huang, PhD
  • College of Business
  • Southern University of Science and Technology
  • No. 1088, Xueyuan Avenue
  • Nanshan District
  • Shenzhen, 518055
  • China
  • Phone: 86 15129077179
  • Email: waynehuangwei@163.com