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

Early Results from COVID-19 Studies (309) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37582, first published .
Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study

Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study

Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study

Authors of this article:

Ruilie Cai1 Author Orcid Image ;   Jiajia Zhang1, 2, 3 Author Orcid Image ;   Zhenlong Li2, 3, 4 Author Orcid Image ;   Chengbo Zeng2, 3, 5 Author Orcid Image ;   Shan Qiao2, 3, 5 Author Orcid Image ;   Xiaoming Li2, 3, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Muitana G, Amato C. Topics, concerns, and feelings commented on Facebook after the first death by COVID-19 in Mozambique. Revista de Investigación e Innovación en Ciencias de la Salud 2023;5(1):press View