The CASE Framework -- A New Architecture for Participatory Research and Digital Health Surveillance

• URL: http://arxiv.org/abs/2505.23516v2
• Date: Mon, 02 Jun 2025 16:37:01 GMT
• Title: The CASE Framework -- A New Architecture for Participatory Research and Digital Health Surveillance
• Abstract summary: We present the CASE framework, an open-source platform for adaptive, context-aware participatory research.<n> CASE implements an event-driven architecture that enables real-time adaptation based on participant responses, external data, temporal conditions, and evolving user states.<n>Case has been successfully deployed across diverse domains, powering national disease surveillance platforms, and enabling real-time sentiment analysis during political events.
• Score: 3.2389916198921878
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present the CASE framework, an open-source platform for adaptive, context-aware participatory research, and pandemic preparedness. CASE implements an event-driven architecture that enables dynamic survey workflows, allowing real-time adaptation based on participant responses, external data, temporal conditions, and evolving user states. The framework supports a broad range of research needs, from simple one-time questionnaires to complex longitudinal studies with advanced conditional logic. Built on over a decade of practical experience, CASE underwent a major architectural rework in 2024, transitioning from a microservice-based design to a streamlined monolithic architecture. This evolution significantly improved maintainability, flexibility, and accessibility to deployment, particularly for institutions with limited technical capacity. CASE has been successfully deployed across diverse domains, powering national disease surveillance platforms, supporting post-COVID cohort studies, and enabling real-time sentiment analysis during political events. These applications, involving tens of thousands of participants, demonstrate the framework's scalability, versatility, and practical value. This paper describes the foundations of CASE, details its architectural evolution, and presents lessons learned from real-world deployments. We establish CASE as a mature and reusable research infrastructure that balances sophisticated functionality with practical implementation, addressing the critical global need for sustainable and institutionally controlled data collection systems.

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