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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) JMIR Theme Issue: COVID-19 Special Issue (2554) Infectious Diseases (non-STD/STI) (1726) Outbreak and Pandemic Preparedness and Management (1826) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Statistical Methods for Surveillance and Population Health (188) Mass Media/Social Media Communication and Campaigns (574)

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

Authors of this article:

Jingwei Li1, 2 Author Orcid Image ;   Wei Huang3, 4, 5 Author Orcid Image ;   Choon Ling Sia1 Author Orcid Image ;   Zhuo Chen6, 7 Author Orcid Image ;   Tailai Wu8 Author Orcid Image ;   Qingnan Wang2 Author Orcid Image
Article Authors Cited by (5) Tweetations (7) Metrics

Journals

  1. McClymont H, Lambert S, Barr I, Vardoulakis S, Bambrick H, Hu W. Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic. Journal of Epidemiology and Global Health 2024;14(3):645 View
  2. Hu W, Sun H, Wei Y, Hao Y. Global infectious disease early warning models: An updated review and lessons from the COVID-19 pandemic. Infectious Disease Modelling 2025;10(2):410 View
  3. Kaur J, Butt Z. AI-driven epidemic intelligence: the future of outbreak detection and response. Frontiers in Artificial Intelligence 2025;8 View
  4. Sabin T, Sunitha B. Multimodal Prediction of COVID-19 ICU Admissions and Demand Using Clinical, Governmental, and Social Media Data with GBM and LSTM Models. Engineering, Technology & Applied Science Research 2025;15(5):28108 View
  5. Li J, Tseng Y, Chen S, Chen K. Artificial Intelligence in Infection Surveillance: Data Integration, Applications and Future Directions. Biomedical Journal 2025:100929 View