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

JMIR Theme Issue: COVID-19 Special Issue (2391) Infodemiology and Infoveillance (1274) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Infectious Diseases (non-STD/STI) (1485) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Mass Media/Social Media Communication and Campaigns (448) Telehealth and Telemonitoring (1566) Outbreak and Pandemic Preparedness and Management (1675) Theme Issue: Medical Informatics and COVID-19 (103)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28648, first published .
Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Authors of this article:

Catherine C Pollack1, 2 Author Orcid Image ;   Diane Gilbert-Diamond2, 3, 4 Author Orcid Image ;   Jennifer A Alford-Teaster1, 2 Author Orcid Image ;   Tracy Onega5 Author Orcid Image
Article Authors Cited by (6) Tweetations (12) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.