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

Infodemiology and Infoveillance (1466) Innovative Methods in Public Health and Surveillance (360) JMIR Theme Issue: COVID-19 Special Issue (2500) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1798) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45419, first published .
Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

Authors of this article:

Jiageng Wu1, 2 Author Orcid Image ;   Lumin Wang1, 2 Author Orcid Image ;   Yining Hua3, 4 Author Orcid Image ;   Minghui Li1, 2 Author Orcid Image ;   Li Zhou3, 4 Author Orcid Image ;   David W Bates3, 4 Author Orcid Image ;   Jie Yang1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics
All Time | Last Month | Last Six Months | Last Year
LongCovidPapers LongCovidPapers @LongCovidPapers

Trend and co-occurrence network of COVID-19 symptoms through large-scale social media: Infoveillance Study… https://t.co/pMQSGsSg8C

11:43 PM · Feb 22, 2023

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Phage Papers Phage Papers @Phage_Papers

Trend and co-occurrence network of COVID-19 symptoms through large-scale social media: Infoveillance Study https://t.co/W2DKXgKnP1

11:43 PM · Feb 22, 2023

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Tom Bellis Tom Bellis @tommybellis

Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study… https://t.co/PsbNltc0qG

3:18 PM · Mar 14, 2023

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Trend and Co-occurrence Network of #COVID19 #coronavirus Symptoms From Large-Scale #SocialMedia #hcsm… https://t.co/jVoUU753wu

5:35 PM · Mar 14, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Trend and Co-occurrence Network of #COVID19 #coronavirus Symptoms From Large-Scale #SocialMedia #hcsm #SoMe Data:…

5:35 PM · Mar 14, 2023

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Jie Yang Jie Yang @JieHealthAI

Our recent @jmirpub paper examines #COVID19 symptoms and their co-occurrence networks through #socialmedia. Social media can complement hospital-based data in public health research, particularly in comprehending patients with mild symptoms. https://t.co/GISKSDTYXr

2:20 AM · Mar 18, 2023

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