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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) Infectious Diseases (non-STD/STI) (1592) Outbreak and Pandemic Preparedness and Management (1743) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Statistical Methods for Surveillance and Population Health (158) Mass Media/Social Media Communication and Campaigns (466)

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 (2) 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 2024 View