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

Theme Issue (2020): Nursing and COVID-19 (12) JMIR Theme Issue: COVID-19 Special Issue (2394) Theme Issue: Medical Informatics and COVID-19 (104) Machine Learning (1401) Nursing in a Hospital Setting (96)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40676, first published .
Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Authors of this article:

Haoqiang Jiang1 Author Orcid Image ;   Arturo Castellanos2 Author Orcid Image ;   Alfred Castillo3 Author Orcid Image ;   Paulo J Gomes3 Author Orcid Image ;   Juanjuan Li4 Author Orcid Image ;   Debra VanderMeer3 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Haoqiang Jiang   1 * , PhD ;   Arturo Castellanos   2 * , PhD ;   Alfred Castillo   3 * , PhD ;   Paulo J Gomes   3 * , PhD ;   Juanjuan Li   4 * , RN, PNP, PhD ;   Debra VanderMeer   3 * , PhD

1 College of Informatics, Northern Kentucky University, Highland Heights, KY, United States

2 Mason School of Business, The College of William & Mary, Williamsburg, VA, United States

3 Information Systems and Business Analytics Department, Florida International University, Miami, FL, United States

4 Nicole Wertheim College of Nursing & Health Sciences, Florida International University, Miami, FL, United States

*all authors contributed equally

Corresponding Author:

  • Haoqiang Jiang, PhD
  • College of Informatics
  • Northern Kentucky University
  • Louie B Nunn Dr
  • Highland Heights, KY, 41099
  • United States
  • Phone: 1 7867172976
  • Email: jiangh1@nku.edu