Published on in Vol 2 , No 2 (2022) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35121, first published .
Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study

Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study

Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study

Bente Christensen 1 , MSc ;   Daniel Laydon 2 , PhD ;   Tadeusz Chelkowski 3 , MSc ;   Dariusz Jemielniak 3 , Prof Dr ;   Michaela Vollmer 2 , PhD ;   Samir Bhatt 2, 4 , Prof Dr ;   Konrad Krawczyk 1 , PhD

1 Department of Mathematics and Computer Science , University of Southern Denmark , Odense , DK

2 Department of Infectious Disease Epidemiology , MRC Centre for Global Infectious Disease Analysis , Imperial College London , London , GB

3 Department of Management in the Network Society , Kozminski University , Warsaw , PL

4 Section of Epidemiology , Department of Public Health , University of Copenhagen , Copenhagen , DK

Corresponding Author:

  • Konrad Krawczyk, PhD
  • Department of Mathematics and Computer Science
  • University of Southern Denmark
  • Campusvej 55
  • Odense
  • DK
  • Phone: 45 5551122
  • Email: konradk@imada.sdu.dk