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

JMIR Theme Issue: COVID-19 Special Issue (2554) Natural Language Processing (917) Generative Language Models Including ChatGPT (708) Outbreak and Pandemic Preparedness and Management (1826) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infodemiology and Infoveillance (1558)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63190, first published .
Leveraging Large Language Models for Infectious Disease Surveillance—Using a Web Service for Monitoring COVID-19 Patterns From Self-Reporting Tweets: Content Analysis

Leveraging Large Language Models for Infectious Disease Surveillance—Using a Web Service for Monitoring COVID-19 Patterns From Self-Reporting Tweets: Content Analysis

Leveraging Large Language Models for Infectious Disease Surveillance—Using a Web Service for Monitoring COVID-19 Patterns From Self-Reporting Tweets: Content Analysis

Authors of this article:

Jiacheng Xie1, 2 Author Orcid Image ;   Ziyang Zhang1, 2 Author Orcid Image ;   Shuai Zeng1, 2 Author Orcid Image ;   Joel Hilliard1 Author Orcid Image ;   Guanghui An2, 3 Author Orcid Image ;   Xiaoting Tang2, 4 Author Orcid Image ;   Lei Jiang1, 2 Author Orcid Image ;   Yang Yu1, 2 Author Orcid Image ;   Xiufeng Wan1, 2, 5, 6 Author Orcid Image ;   Dong Xu1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Melchane S, Elmir Y, Kacimi F, Boubchir L. A decision support approach to infectious disease classification using tweets and routine blood tests. Network Modeling Analysis in Health Informatics and Bioinformatics 2025;14(1) View
  2. Fieldhouse J, Ge J, Randhawa N, Wolking D, Genovese B, Mazet J, Desai A. The intersection of artificial intelligence with qualitative or mixed methods for communicable disease research: a scoping review. Public Health 2025;248:105961 View
  3. Li J, Tseng Y, Chen S, Chen K. Artificial Intelligence in Infection Surveillance: Data Integration, Applications and Future Directions. Biomedical Journal 2025:100929 View