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

Early Results from COVID-19 Studies (309) Infodemiology and Infoveillance (1369) Theories, Models, and Frameworks in Human Factors (76) Outbreak and Pandemic Preparedness and Management (1743) Natural Language Processing (706) Organizational Issues (161) Infectious Diseases (non-STD/STI) (1592) Artificial Intelligence (1421) Mass Media/Social Media Communication and Campaigns (466)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53574, first published .
Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis

Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis

Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis

Authors of this article:

Anita Pienkowska1 Author Orcid Image ;   Mathieu Ravaut2 Author Orcid Image ;   Maleyka Mammadova1 Author Orcid Image ;   Chin-Siang Ang1 Author Orcid Image ;   Hanyu Wang1 Author Orcid Image ;   Qi Chwen Ong1 Author Orcid Image ;   Iva Bojic1 Author Orcid Image ;   Vicky Mengqi Qin1 Author Orcid Image ;   Dewan Md Sumsuzzman1 Author Orcid Image ;   Onyema Ajuebor3 Author Orcid Image ;   Mathieu Boniol4 Author Orcid Image ;   Juana Paola Bustamante5 Author Orcid Image ;   James Campbell6 Author Orcid Image ;   Giorgio Cometto3 Author Orcid Image ;   Siobhan Fitzpatrick3 Author Orcid Image ;   Catherine Kane3 Author Orcid Image ;   Shafiq Joty2 Author Orcid Image ;   Josip Car1 Author Orcid Image
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