Accessibility settings

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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1165) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1178) Infectious Diseases (non-STD/STI) (1775) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1548) Outbreak and Pandemic Preparedness and Management (1859)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85608, first published .
Public health monitoring: app, data, research, and response to infectious diseases.

Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study

Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study

Authors of this article:

Sheng En Alexius Matthias Soh1 Author Orcid Image ;   Aung Hein Aung2 Author Orcid Image ;   Wei Ling Brenda Ong1 Author Orcid Image ;   Kangwei Zeng3 Author Orcid Image ;   Jean-Marc Chavatte4 Author Orcid Image ;   Lin Cui4 ;   Raymond Valentine Tzer Pin Lin5 Author Orcid Image ;   Vanessa W Lim1 Author Orcid Image ;   May O Lwin6 Author Orcid Image ;   I-Cheng Mark Chen2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually