Published on in Vol 5, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32647, first published .
Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach

Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach

Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach

Journals

  1. Ross M, Sagrera C, McPherson P, Gurgel Smith D, Alfrad Nobel Bhuiyan M, Tinsley M, Goeders N, Patterson J, Murnane K. Use of virtual meeting and survey technology to assess Covid-19-related mental well-being of healthcare workers. Ethics, Medicine and Public Health 2023;26:100860 View
  2. Roncero C, González-Sánchez A, Pérez-Laureano Á, Ortiz-Fune C, Díaz-Trejo S, Bersabé-Pérez M, Braquehais M, Pérez-Rodríguez J, Maderuelo-Fernández J, Benito-Sánchez J. The challenge of community mental health interventions with patients, relatives, and health professionals during the COVID-19 pandemic: a real-world 9-month follow-up study. Scientific Reports 2022;12(1) View
  3. Li S, Sznajder K, Ning L, Gao H, Xie X, Liu S, Shao C, Li X, Yang X, Leal-Costa C. Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study. Journal of Nursing Management 2023;2023:1 View
  4. Praditpapha A, Mattheos N, Pisarnturakit P, Pimkhaokham A, Subbalekha K. Dentists' Stress During the COVID-19 Pandemic: A Repeated Cross-Sectional Study. International Dental Journal 2024;74(2):294 View
  5. Nyarko E, Arku D, Duah G. Best-worst scaling in studying the impact of the coronavirus pandemic on health professionals in Ghana. Model Assisted Statistics and Applications 2023;18(3):227 View
  6. Lee J, Lee S. Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study. JMIR Formative Research 2023;7:e42756 View
  7. Cermakova P, Fryčová B, Novák D, Kuklová M, Wolfová K, Kučera M, Janoušková M, Pekara J, Šeblová J, Seblova D. Depression in healthcare workers during COVID-19 pandemic: results from Czech arm of HEROES Study. Scientific Reports 2023;13(1) View
  8. Irfan M, Shaf A, Ali T, Zafar M, Rahman S, I. Hendi M, M. Baeshen S, Maghfouri M, Alahmari H, Shahhar F, Shahhar N, Halawi A, Mahnashi F, Alqhtani S, Ali M. B, V E S. An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff. PLOS ONE 2023;18(6):e0286155 View
  9. Kalrao V, Srivastava L, Kumar S. Parenting stress and associated factors in healthcare workers after the second wave of COVID-19 in India: a two-center cross-sectional study. Frontiers in Psychiatry 2023;14 View
  10. Rahnama M, Abdollahimohammad A, Shahdadi H. Bipolar Coping Strategies of Nurses in Facing the COVID-19 Pandemic: A Meta-synthesis Review. Psychological Reports 2023 View
  11. Li S, Shang S, Wang J, Yang B, Jiang W. Research on the psychological status of medical staff during the COVID-19 epidemic in China: A longitudinal study. Medicine 2023;102(34):e34750 View
  12. Ibrahim M, Tiete J, Noël J, Pipo C, Dethare E, Van Hove O, Foucart J. Mental health outcomes in physiotherapists in COVID-19 and non-cOVID-19 care units: a cross-sectional survey in Belgium. European Journal of Physiotherapy 2024;26(2):111 View
  13. Zhang H, Liu F, Lang H. The relationship between role ambiguity and anxiety in intensive care unit nurses: The mediating role of emotional intelligence. Intensive and Critical Care Nursing 2024;81:103597 View
  14. Yavuz C, Yildiz M, Sari Ö, B. Uçgun A, Altintas K. Psychological well-being of healthcare workers during COVID-19: Relationship with risk perception and fear in the context of health belief model. Archives of Environmental & Occupational Health 2023;78(9-10):483 View
  15. Song J, Shi X, Zheng X, Lu G, Chen C. The impact of perceived organizational justice on young nurses’ job performance: a chain mediating role of organizational climate and job embeddedness. BMC Nursing 2024;23(1) View