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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Medical Informatics and COVID-19 (107) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37829, first published .
Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Authors of this article:

Aditya Singhal1 Author Orcid Image ;   Manmeet Kaur Baxi1 Author Orcid Image ;   Vijay Mago1 Author Orcid Image
Article Authors Cited by (8) Tweetations (5) Metrics

Journals

  1. Baxi M, Philip J, Mago V. Resilience of political leaders and healthcare organizations during COVID-19. PeerJ Computer Science 2022;8:e1121 View
  2. Braun D, Ingram D, Ingram D, Khan B, Marsh J, McAndrew T. Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study. JMIR Public Health and Surveillance 2022;8(12):e39336 View
  3. Singhal A, Mago V. Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis. Informatics 2023;10(3):65 View
  4. Yuda Kusuma I, Pratiwi H, Fitri Khairunnisa S, Ayu Eka Pitaloka D, Arizandi Kurnianto A. The assessment of Twitter discourse on the new COVID-19 variant, XBB.1.5, through social network analysis. Vaccine: X 2023;14:100322 View
  5. Kharbat F, Kannan Y, Gleason K, Qasim A. Corporate communication during the COVID-19 crisis in a multicultural environment: culture and tweet impact. Electronic Commerce Research 2024;24(1):675 View
  6. Kim A, Choi S, Woo K. Navigating the Landscape of Telemedicine Research: A Topic Modeling Approach for the Present and Future. Telemedicine and e-Health 2024;30(5):1378 View
  7. Singhal A, Neveditsin N, Tanveer H, Mago V. Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review. JMIR Medical Informatics 2024;12:e50048 View

Books/Policy Documents

  1. Fisher A, Sharma R, Mago V. Artificial Intelligence for Personalized Medicine. View