This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (1997) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1297) Infoveillance and Social Listening (131)

Published on in Vol 22 , No 10 (2020) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19791, first published .
Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study

Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study

Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study

Authors of this article:

Rafael A Badell-Grau 1 Author Orcid Image ;   Jordan Patrick Cuff 1 Author Orcid Image ;   Brendan P Kelly 1 Author Orcid Image ;   Helen Waller-Evans 2 Author Orcid Image ;   Emyr Lloyd-Evans 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Journals

  1. Laudanski K, Shea G, DiMeglio M, Restrepo M, Solomon C. What Can COVID-19 Teach Us about Using AI in Pandemics?. Healthcare 2020;8(4):527 View