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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infectious Diseases (non-STD/STI) (1575) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Mass Media/Social Media Communication and Campaigns (461) Telehealth and Telemonitoring (1671) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Medical Informatics and COVID-19 (107)

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 (7) Tweetations (12) Metrics

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