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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

Sheng En Alexius Matthias Soh   1 , BEng, MSc ;   Aung Hein Aung   2 , MBBS, MPH ;   Wei Ling Brenda Ong   1 , BSc ;   Kangwei Zeng   3 , BSc, MPH ;   Jean-Marc Chavatte   4 , BSc, Maitrise, MSc, PhD ;   Lin Cui   4 , BSc, MSc, PhD ;   Raymond Valentine Tzer Pin Lin   5 , MBBS, FRCPA ;   Vanessa W Lim   1 , PhD ;   May O Lwin   6 , BA, MBA, PhD ;   I-Cheng Mark Chen   2 , MBBS, PhD

1 NCID Research Office, National Centre for Infectious Diseases, Singapore, Singapore

2 Department of Epidemiology and Preventive Medicine, Tan Tock Seng Hospital, Singapore, Singapore

3 Advanced Methods and Analytics, Communicable Diseases Agency, Singapore, Singapore

4 National Public Health Laboratory, Communicable Diseases Agency, Singapore, Singapore

5 Microbiology Division, Department of Laboratory Medicine, National University Hospital, Singapore, Singapore

6 Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore

Corresponding Author:

  • I-Cheng Mark Chen, MBBS, PhD
  • Department of Epidemiology and Preventive Medicine
  • Tan Tock Seng Hospital
  • 11 Jln Tan Tock Seng
  • Singapore 308443
  • Singapore
  • Phone: 65 96506340
  • Email: mark.ic.chen@nhghealth.com.sg