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

PLoS One. 2021 Jun 2;16(6):e0252332. doi: 10.1371/journal.pone.0252332. eCollection 2021.

Authors

Shantanu Dutta¹, Ashok Kumar², Moumita Dutta³, Caolan Walsh⁴

Affiliations

¹ Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada.
² Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India.
³ International Baccalaureate Program, Colonel By Secondary School, Ottawa, Ontario, Canada.
⁴ Department of Surgery, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

PMID: 34077467
DOI: 10.1371/journal.pone.0252332

No abstract available

Publication types

Retracted Publication

MeSH terms

COVID-19 / epidemiology
COVID-19 / prevention & control
COVID-19 / psychology*
COVID-19 Vaccines / administration & dosage*
COVID-19 Vaccines / immunology
Humans
Machine Learning*
SARS-CoV-2 / immunology
SARS-CoV-2 / isolation & purification
United States / epidemiology
Vaccination / methods
Vaccination / psychology*
Vaccination Refusal / psychology*

Substances

COVID-19 Vaccines