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, Aung Hein Aung, Wei Ling Brenda Ong, Kangwei Zeng, Jean-Marc Chavatte, Lin Cui, Raymond Valentine Tzer Pin Lin, Vanessa W Lim, May O Lwin, I-Cheng Mark Chen

Open source

DOI: 10.2196/85608
Published: 2026-06-10
Container: Journal of Medical Internet Research
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/85608,
  title = {Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study},
  author = {Sheng En Alexius Matthias Soh and Aung Hein Aung and Wei Ling Brenda Ong and Kangwei Zeng and Jean-Marc Chavatte and Lin Cui and Raymond Valentine Tzer Pin Lin and Vanessa W Lim and May O Lwin and I-Cheng Mark Chen},
  year = {2026},
  journal = {Journal of Medical Internet Research},
  doi = {10.2196/85608},
  url = {https://doi.org/10.2196/85608}
}

RIS

TY  - JOUR
TI  - Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study
AU  - Sheng En Alexius Matthias Soh
AU  - Aung Hein Aung
AU  - Wei Ling Brenda Ong
AU  - Kangwei Zeng
AU  - Jean-Marc Chavatte
AU  - Lin Cui
AU  - Raymond Valentine Tzer Pin Lin
AU  - Vanessa W Lim
AU  - May O Lwin
AU  - I-Cheng Mark Chen
PY  - 2026
JO  - Journal of Medical Internet Research
DO  - 10.2196/85608
UR  - https://doi.org/10.2196/85608
ER  -

APA

Soh, S. E. A. M., Aung, A. H., Ong, W. L. B., Zeng, K., Chavatte, J., Cui, L., Lin, R. V. T. P., Lim, V. W., Lwin, M. O., & Chen, I. M. (2026). Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study. Journal of Medical Internet Research. https://doi.org/10.2196/85608

Source records

crossref · retrieved 2026-09-24T17:12:49.101Z