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

JMIR Theme Issue: COVID-19 Special Issue (2571) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1999) Machine Learning (2306) Infectious Diseases (non-STD/STI) (1770) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1547) Hygiene and Infection Prevention (390) Outbreak and Pandemic Preparedness and Management (1856)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21419, first published .
Smartphone displaying WHO Western Pacific Region Twitter feed with COVID-19 information.

Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data

Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data

Authors of this article:

Caitlin Doogan1, 2 Author Orcid Image ;   Wray Buntine2 Author Orcid Image ;   Henry Linger1 Author Orcid Image ;   Samantha Brunt3 Author Orcid Image
Article Authors Cited by (79) Tweetations (12) Metrics

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