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 (2241) Theme Issue: Medical Informatics and COVID-19 (99) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1400) Infodemiology and Infoveillance (1125)

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 Singhal 1 Author Orcid Image ;   Manmeet Kaur Baxi 1 Author Orcid Image ;   Vijay Mago 1 Author Orcid Image
Article Authors Cited by (2) 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