Published on in Vol 25 (2023)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42401, first published .
The Effect of the COVID-19 Pandemic on Digital Health–Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends

The Effect of the COVID-19 Pandemic on Digital Health–Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends

The Effect of the COVID-19 Pandemic on Digital Health–Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends

Robin van Kessel   1, 2 , MSc, PhD ;   Ilias Kyriopoulos   1 , MSc, PhD ;   Brian Li Han Wong   2, 3 , MSc ;   Elias Mossialos   1, 4 , PhD

1 LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom

2 Department of International Health, Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands

3 Steering Committee, Digital Health Section, European Public Health Association, Utrecht, Netherlands

4 Institute of Global Health Innovation, Imperial College London, London, United Kingdom

Corresponding Author:

  • Elias Mossialos, PhD
  • LSE Health
  • Department of Health Policy
  • London School of Economics and Political Science
  • Houghton Street
  • London, WC2A 2AE
  • United Kingdom
  • Phone: 44 7772707841
  • Email: e.a.mossialos@lse.ac.uk