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

JMIR Theme Issue: COVID-19 Special Issue (2391) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Machine Learning (1385) Hygiene and Infection Prevention (298) Infectious Diseases (non-STD/STI) (1485) Outbreak and Pandemic Preparedness and Management (1675) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482)

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 .
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

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 (68) Tweetations (14) Metrics

Journals

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Books/Policy Documents

  1. Sabuncu I, Aydin M. Data Science Advancements in Pandemic and Outbreak Management. View
  2. Takian A, Haghighi H, Raoofi A. Environmental and Health Management of Novel Coronavirus Disease (COVID-19 ). View
  3. Sabuncu I. Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry. View
  4. Scales S, Horney J. The COVID-19 Response. View