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

Weicong Li   1 , DPhil ;   Liyaning Maggie Tang   2 , DPhil ;   Jed Montayre   3, 4 , DPhil ;   Celia B Harris   1 , DPhil ;   Sancia West   5 , DPhil ;   Mark Antoniou   1 , DPhil

1 The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Penrith, Australia

2 School of Architecture and Built Environment, The University of Newcastle, Callaghan, Australia

3 Centre of Evidence-based Practice for Health Care Policy, The Hong Kong Polytechnic University, Hung Hom, China (Hong Kong)

4 School of Nursing and Midwifery, Western Sydney University, Penrith, Australia

5 Centre for Work Health and Safety, New South Wales Government, Gosford, Australia

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