Web services based syndromic surveillance for early warning within French Forces

Area of Science:

• Military Health
• Epidemiology
• Public Health Surveillance

Background:

• Effective syndromic surveillance is crucial for early warning in military settings.
• Existing systems often lack the necessary robustness, scalability, flexibility, ubiquity, and interoperability.
• A need exists for advanced surveillance solutions tailored to military operational environments.

Purpose of the Study:

• To design and implement a novel syndromic surveillance system for military early warning.
• To create a system that is robust, scalable, flexible, ubiquitous, and interoperable.
• To evaluate the system's capability in early outbreak detection.

Main Methods:

• Developed a collaborative network of web services.
• Employed a skill-oriented decomposition of surveillance tasks.
• Utilized a formal model of epidemiological events for system design.
• Distributed services across multiple secure network locations in France and French Guiana.

Main Results:

• The surveillance system has been operational for several months.
• The system successfully detected two outbreaks.
• Early outbreak detection occurred prior to conventional surveillance systems.

Conclusions:

• The developed web service-based surveillance system is effective for military early warning.
• The system demonstrates superior performance in early outbreak detection compared to traditional methods.
• The architecture supports robustness, scalability, and interoperability for widespread application.