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, Denmark

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

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

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

Corresponding Author:

  • Konrad Krawczyk, PhD
  • Department of Mathematics and Computer Science
  • University of Southern Denmark
  • Campusvej 55
  • Odense, 5230
  • Denmark
  • Phone: 45 5551122
  • Email: konradk@imada.sdu.dk