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

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

  • By

  • 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

  • June 10, 2026

  • 0 min

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Clinical Report: Utilizing Participatory Surveillance for COVID-19 in Singapore

Overview

This study evaluates the effectiveness of participatory surveillance groups in monitoring COVID-19 activity in Singapore. It integrates various data streams to estimate undiagnosed cases and provides a framework for real-time epidemic tracking.

Background

The COVID-19 pandemic has highlighted significant limitations in traditional epidemiological surveillance systems, which struggled to provide timely and accurate data. Understanding the true incidence of infections is crucial for effective public health responses and vaccination strategies. Participatory surveillance offers a promising approach to complement existing methods by capturing community-level data on illness and health-seeking behaviors.

Data Highlights

Replace placeholder with relevant data or a clear statement about data availability.

Key Findings

  • Participatory surveillance can provide near real-time monitoring of COVID-19 activity.
  • Integration of participatory data with wastewater testing and healthcare surveillance improves estimates of undiagnosed cases.
  • The framework developed can be applied to other infectious diseases beyond COVID-19.
  • Findings from participatory surveillance correlate with passive case notifications and serological surveys.
  • Health-seeking behaviors significantly influence the interpretation of infection prevalence.

Clinical Implications

Healthcare professionals can leverage participatory surveillance data to enhance understanding of community-level COVID-19 trends. This approach may inform public health strategies and improve response efforts during future outbreaks.

Conclusion

The study demonstrates the potential of participatory surveillance as a valuable tool for real-time epidemic monitoring, which could significantly enhance public health responses to infectious diseases.

Related Resources & Content

  1. Lim et al, American Journal of Epidemiology, 2023 -- Utilizing Participatory Surveillance Groups
  2. American Journal of Epidemiology, 2023 -- Analyzing Temporal Patterns of Various Pathogens
  3. American Journal of Epidemiology, 2023 -- Enhancing the Accuracy of Instantaneous Reproduction Number Estimates
  4. WHO, 2024 -- Implementing Integrated Sentinel Surveillance of Influenza and Other Respiratory Viruses
  5. Open Forum Infectious Diseases — Comparative Analysis of Long-Term Outcomes After Dengue and SARS-CoV-2 Infections in Children: A Retrospective Cohort Investigation
  6. Estimating COVID-19 incidence and prevalence using lateral flow tests in England and Scotland, 2023-2024
  7. Weekly Infectious Diseases Bulletin 2025 | Communicable Diseases Agency
  8. Implementing the integrated sentinel surveillance of influenza and other respiratory viruses of epidemic and pandemic potential by the Global Influenza Surveillance and Response System

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