Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20493, first published .
Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study

Journals

  1. Syeda H, Syed M, Sexton K, Syed S, Begum S, Syed F, Prior F, Yu Jr F. Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review. JMIR Medical Informatics 2021;9(1):e23811 View
  2. Tayarani N. M. Applications of artificial intelligence in battling against covid-19: A literature review. Chaos, Solitons & Fractals 2021;142:110338 View
  3. Wang H, Li Y, Hutch M, Naidech A, Luo Y. Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study. Journal of Medical Internet Research 2021;23(2):e26302 View
  4. Bechard L, Bergelt M, Neudorf B, DeSouza T, Middleton L. Using the Health Belief Model to Understand Age Differences in Perceptions and Responses to the COVID-19 Pandemic. Frontiers in Psychology 2021;12 View
  5. van den Hurk K, Merz E, Prinsze F, Spekman M, Quee F, Ramondt S, Slot E, Vrielink H, Huis in ’t Veld E, Zaaijer H, Hogema B. Low awareness of past SARS-CoV-2 infection in healthy plasma donors. Cell Reports Medicine 2021;2(3):100222 View

Books/Policy Documents

  1. Wright K. Communicating Science in Times of Crisis. View