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Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach

  • Shantanu Dutta ,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Writing – original draft, Writing – review & editing

    shantanu.dutta@telfer.uottawa.ca

    Affiliation Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada

  • Ashok Kumar,

    Roles Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

  • Moumita Dutta,

    Roles Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing

    Affiliation International Baccalaureate Program, Colonel By Secondary School, Ottawa, Ontario, Canada

  • Caolan Walsh

    Roles Conceptualization, Investigation, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliation Department of Surgery, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada

Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach

  • Shantanu Dutta, 
  • Ashok Kumar, 
  • Moumita Dutta, 
  • Caolan Walsh
PLOS
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Retraction

After this article [1] was published, concerns came to light regarding data use permissions. The authors obtained news articles for this study on Factiva. While the authors represented to PLOS that they had legitimate permissions to access the articles, concerns were noted post-publication that the authors’ data mining of news articles on Factiva did not comply with the terms of the University of Ottawa’s license with Factiva. Therefore, the authors retract this article.

The authors requested that PLOS remove the article from online publication, and informed PLOS that the University of Ottawa library and representatives of Factiva (Dow Jones) had both requested this action. Following an internal assessment of this case, PLOS agreed to remove the article from the PLOS ONE website at the time of retraction.

All authors agreed with retraction.

22 Jul 2021: Dutta S, Kumar A, Dutta M, Walsh C (2021) Retraction: Tracking COVID-19 vaccine hesitancy and logistical challenges: A machine learning approach. PLOS ONE 16(7): e0255347. https://doi.org/10.1371/journal.pone.0255347 View retraction