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Conceptual foundations for infectious disease surveillance.
1Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.
Summary
Developing effective infectious disease surveillance systems requires careful consideration of sampling strategies and diagnostic assays. Probability-driven design is crucial for maximizing accuracy, timeliness, and cost-efficiency in disease detection.
Area of Science:
- Veterinary Epidemiology
- Infectious Disease Ecology
- Public Health Surveillance
Background:
- Infectious disease surveillance systems are critical for early detection and control of animal and human diseases.
- System performance is evaluated based on accuracy (sensitivity, specificity), precision, timeliness, utility, and value.
- Disease-specific characteristics, such as transition state dynamics, influence surveillance system design and effectiveness.
Purpose of the Study:
- To provide concepts for developing robust infectious disease surveillance systems.
- To outline key components and strategies for enhancing surveillance system performance.
- To emphasize probability-driven design for improved accuracy and efficiency.
Main Methods:
- Defining surveillance systems as active, formal, and systematic processes for identifying disease agents.
- Analyzing the impact of sampling schemes (proportional risk, targeted, repeated, hierarchical) on detection probability and timeliness.
- Evaluating the role of diagnostic assays (multiplexed) in maximizing agent detection and minimizing false positives.
- Incorporating disease transition state dynamics into system design.
Main Results:
- Sampling strategies like proportional risk, targeted, and repeated sampling enhance accuracy and early detection.
- Hierarchical sampling and multiplexed assays improve efficiency and utility for multiple purposes.
- Probability-driven architecture is essential for maximizing sensitivity and specificity while minimizing costs.
- Effective surveillance requires optimizing the interplay between sampling and diagnostic components.
Conclusions:
- Strategic sampling and advanced diagnostic assays are fundamental to high-performing surveillance systems.
- Probability-driven design principles are vital for developing cost-effective and accurate systems for emerging and foreign animal diseases.
- Continuous refinement of surveillance systems based on disease dynamics and technological advancements is necessary.