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

JMIR Theme Issue: COVID-19 Special Issue (2440) Information Seeking, Information Needs (458) Natural Language Processing (677) Infectious Diseases (non-STD/STI) (1556) Outbreak and Pandemic Preparedness and Management (1714) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1513)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22407, first published .
COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis

COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis

COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis

Authors of this article:

Tony S Shen1 Author Orcid Image ;   Aaron Z Chen2 Author Orcid Image ;   Patawut Bovonratwet1 Author Orcid Image ;   Carol L Shen3 Author Orcid Image ;   Edwin P Su1 Author Orcid Image
Article Authors Cited by (12) Tweetations (9) Metrics

Tony S Shen   1 , MD ;   Aaron Z Chen   2 , BA ;   Patawut Bovonratwet   1 , MD ;   Carol L Shen   3 , MD ;   Edwin P Su   1 , MD

1 Hospital for Special Surgery, New York, NY, United States

2 Weill Cornell Medical College, New York, NY, United States

3 NewYork-Presbyterian Morgan Stanley Children’s Hospital, New York, NY, United States

Corresponding Author: