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

Infoveillance and Social Listening (320) JMIR Theme Issue: COVID-19 Special Issue (2562) Web-based and Mobile Health Interventions (4180) Data Sources and Open Data for Infodemiology (28) COVID-19 Vaccination (185) Pharmacovigilance (180) Vaccination Sentiment and Anti-Vaccination Infodemiology (92) AI Language Models in Health Care (238) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (225)

Published on in Vol 4 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53424, first published .
Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study

Authors of this article:

Chathuri Daluwatte1 Author Orcid Image ;   Alena Khromava2 Author Orcid Image ;   Yuning Chen1 Author Orcid Image ;   Laurence Serradell3 Author Orcid Image ;   Anne-Laure Chabanon4 Author Orcid Image ;   Anthony Chan-Ou-Teung5 Author Orcid Image ;   Cliona Molony1 Author Orcid Image ;   Juhaeri Juhaeri6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics Author Video

Journals

  1. Izuchukwu C, Wimmer H, Schwind J, Tome J. Patterns and behaviors during the Coronavirus Disease 2019 pandemic in Germany: A natural language processing application. The Open Public Health Journal 2025;18(1) View
  2. Chandra L, Nugroho D, Thobari J, Dimaguila G, Buttery J. Active surveillance methods to identify adverse events of special interest (AESIs) following vaccination against pandemic diseases: A scoping review. Vaccine 2026;77:128341 View