Abstract

The 21st century has seen the rise of Internet-based participatory surveillance systems for infectious diseases. These systems capture voluntarily submitted symptom data from the general public and can aggregate and communicate that data in near real-time. We reviewed participatory surveillance systems currently running in 13 different countries. These systems have a growing evidence base showing a high degree of accuracy and increased sensitivity and timeliness relative to traditional healthcare-based systems. They have also proven useful for assessing risk factors, vaccine effectiveness, and patterns of healthcare utilization while being less expensive, more flexible, and more scalable than traditional systems. Nonetheless, they present important challenges including biases associated with the population that chooses to participate, difficulty in adjusting for confounders, and limited specificity because of reliance only on syndromic definitions of disease limits. Overall, participatory disease surveillance data provides unique disease information that is not available through traditional surveillance sources.

Highlights

  • Community engagement has long been an important part of public health

  • In the 1850s, John Snow identified the role of water in cholera transmission using data that he acquired by talking with people living in a cholera epidemic [1]

  • When large smallpox outbreaks diminished as part of the smallpox eradication campaign, the World Health Organization turned to field workers armed with pictures of smallpox victims to survey villagers and find cases of the disease [2]

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Summary

Introduction

Community engagement has long been an important part of public health. In the 1850s, John Snow identified the role of water in cholera transmission using data that he acquired by talking with people living in a cholera epidemic [1]. De Grote Griepmeting was created to monitor the activity of influenza-like illness (ILI) by collecting symptom data from voluntary participants.

Results
Conclusion

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