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

Original Papers (9) JMIR Theme Issue: COVID-19 Special Issue (1649) Infodemiology and Infoveillance (822) Depression and Mood Disorders; Suicide Prevention (899) Outbreak and Pandemic Preparedness and Management (1245) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (662)

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 Zhang 1 Author Orcid Image ;   Hanjia Lyu 1 Author Orcid Image ;   Yubao Liu 1 Author Orcid Image ;   Xiyang Zhang 2 Author Orcid Image ;   Yu Wang 1 Author Orcid Image ;   Jiebo Luo 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) 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, US

2 University of Akron , Akron, OH, US

*these authors contributed equally

Corresponding Author: