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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Nursing (98) Occupational Health and Ergonomics/Prevention at the Workplace (238) Physician and Healthcare Worker Burnout (109) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) mHealth for Data Collection and Research (955)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49450, first published .
Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data

Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data

Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data

Authors of this article:

Weicong Li1 Author Orcid Image ;   Liyaning Maggie Tang2 Author Orcid Image ;   Jed Montayre3, 4 Author Orcid Image ;   Celia B Harris1 Author Orcid Image ;   Sancia West5 Author Orcid Image ;   Mark Antoniou1 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics

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