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

Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infectious Diseases (non-STD/STI) (1575) Mass Media/Social Media Communication and Campaigns (461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (36) Peer-to-Peer Support and Online Communities (636) Discourse (38)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34218, first published .
Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Authors of this article:

Edina YQ Tan1, 2 Author Orcid Image ;   Russell RE Wee3 Author Orcid Image ;   Young Ern Saw1 Author Orcid Image ;   Kylie JQ Heng1 Author Orcid Image ;   Joseph WE Chin1 Author Orcid Image ;   Eddie MW Tong3 Author Orcid Image ;   Jean CJ Liu1, 2, 4, 5 Author Orcid Image
Article Authors Cited by (5) Tweetations (6) Metrics

Edina YQ Tan   1, 2 , BA ;   Russell RE Wee   3 , BA ;   Young Ern Saw   1 , BA ;   Kylie JQ Heng   1 ;   Joseph WE Chin   1 , BA ;   Eddie MW Tong   3 , PhD ;   Jean CJ Liu   1, 2, 4, 5 , PhD

1 Division of Social Sciences, Yale-NUS College, Singapore, Singapore

2 Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, Singapore, Singapore

3 Department of Psychology, National University of Singapore, Singapore, Singapore

4 Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, Singapore, Singapore

5 Centre for Trusted Internet and Community, National University of Singapore, Singapore, Singapore

Corresponding Author: