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

JMIR Theme Issue: COVID-19 Special Issue (2458) Infodemiology and Infoveillance (1363) Public (e)Health, Digital Epidemiology and Public Health Informatics (743) Information Seeking, Information Needs (477) Infectious Diseases (non-STD/STI) (1584) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1048) Outbreak and Pandemic Preparedness and Management (1738) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19087, first published .
Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

Authors of this article:

Chunmei Huang1 Author Orcid Image ;   Xinjie Xu2 Author Orcid Image ;   Yuyang Cai3 Author Orcid Image ;   Qinmin Ge2 Author Orcid Image ;   Guangwang Zeng1, 4 Author Orcid Image ;   Xiaopan Li5, 6 Author Orcid Image ;   Weide Zhang7 Author Orcid Image ;   Chen Ji8 Author Orcid Image ;   Ling Yang1 Author Orcid Image
Article Authors Cited by (54) Tweetations (13) Metrics

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