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

Infoveillance and Social Listening (209) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Depression and Mood Disorders; Suicide Prevention (1363) Outbreak and Pandemic Preparedness and Management (1727) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26769, first published .
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

Authors of this article:

Yipeng Zhang1 Author Orcid Image ;   Hanjia Lyu1 Author Orcid Image ;   Yubao Liu1 Author Orcid Image ;   Xiyang Zhang2 Author Orcid Image ;   Yu Wang1 Author Orcid Image ;   Jiebo Luo1 Author Orcid Image
Article Authors Cited by (60) Tweetations (13) Metrics

Yipeng Zhang   1 , BSc ;   Hanjia Lyu   1 * , MSc ;   Yubao Liu   1 * , MSc ;   Xiyang Zhang   2 , MA ;   Yu Wang   1 , PhD ;   Jiebo Luo   1 , PhD

1 University of Rochester, Rochester, NY, United States

2 University of Akron, Akron, OH, United States

*these authors contributed equally

Corresponding Author: