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

Supporting Home Care and Family Caregivers (224) Patient Education in Nursing (7) Mobile Apps for Nurses (24) Prevention and Health Promotion (1127) Mobile Health (mhealth) (3147) Behavior Change (768) mHealth for Wellness, Behavior Change and Prevention (3091) JMIR Theme Issue: COVID-19 Special Issue (2493) Outbreak and Pandemic Preparedness and Management (1779) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38063, first published .
Understanding Whole-Person Health and Resilience During the COVID-19 Pandemic and Beyond: A Cross-sectional and Descriptive Correlation Study

Understanding Whole-Person Health and Resilience During the COVID-19 Pandemic and Beyond: A Cross-sectional and Descriptive Correlation Study

Understanding Whole-Person Health and Resilience During the COVID-19 Pandemic and Beyond: A Cross-sectional and Descriptive Correlation Study

Authors of this article:

Sripriya Rajamani1 Author Orcid Image ;   Robin Austin1 Author Orcid Image ;   Elena Geiger-Simpson1 Author Orcid Image ;   Ratchada Jantraporn1 Author Orcid Image ;   Suhyun Park1 Author Orcid Image ;   Karen A Monsen1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Pirsch A, Austin R, Martin L, Pieczkiewicz D, Monsen K. Using data visualization to characterize whole‐person health of public health nurses. Public Health Nursing 2023;40(5):612 View
  2. Austin R, McLane T, Pieczkiewicz D, Adam T, Monsen K. Advantages and disadvantages of using theory-based versus data-driven models with social and behavioral determinants of health data. Journal of the American Medical Informatics Association 2023;30(11):1818 View
  3. Austin R, Rajamani S, Jantraporn R, Pirsch A, Martin K. Examining standardized consumer-generated social determinants of health and resilience data supported by Omaha System terminology. Journal of the American Medical Informatics Association 2023;30(11):1852 View
  4. Aldekhyyel R, Alshuaibi F, Alsaaid O, Bin Moammar F, Alanazy T, Namshah A, Altassan K, Aldekhyyel R, Jamal A. Exploring behavioral intention to use telemedicine services post COVID-19: a cross sectional study in Saudi Arabia. Frontiers in Public Health 2024;12 View
  5. Huling J, Austin R, Lu S, Mathiason M, Pirsch A, Monsen K. Comparison of Weighting Methods to Understand Improved Outcomes Attributable to Public Health Nursing Interventions. Nursing Research 2024;73(5):390 View
  6. Austin R, Jantraporn R, Michalowski M, Marquard J. Machine learning methods to discover hidden patterns in well‐being and resilience for healthy aging. Journal of Nursing Scholarship 2025;57(1):72 View
  7. DiGuiseppi G, Rodriguez A, Qureshi N, Zeng C, Coulter I, Hays R, Herman P, Edelen M. Measuring Whole Person Health: A Scoping Review. Journal of Integrative and Complementary Medicine 2025:000 View
  8. Austin R, Alexander S, Tupper S, Holt J. Toward Solving the Menopause Data Gap. CIN: Computers, Informatics, Nursing 2025 View