While all the international infectious disease surveillance systems
share similar objectives, each system site varies in its system
architecture, its information processing management techniques, its
algorithms for detection, and each focus on different diseases.
INFECTIOUS DISEASE INFORMATICS: Syndromic Surveillance for Public
Health and Bio-Defense corrects these problems. The book will analyze
and evaluate the outbreak modeling and detection capabilities of the
existing surveillance systems from a systematic framework. Specifically,
the book will meet the following critical needs in detecting infectious
diseases:
- It will provide an integrated, synthesized, and interdisciplinary
analysis of infectious surveillance techniques. It will include
statistical modeling techniques, but go beyond statistical modeling
to include information systems design, data standards, computational
aspects of bio-surveillance, information visualization, and system
evaluation.
- It will emphasize the practical importance of the area and integrate
the material from Public Health, Computer Science, Information
Systems, Software Engineering, Public Administration Policy,
Geographical Information Systems, etc. into a unified
state-of-the-art treatment of syndromic surveillance systems.
By its very nature, infectious disease surveillance is a dynamic,
fast-moving field. Therefore the book will provide policy makers and
public health practitioners with the most recent research findings,
methodologies, and implementation issues from case studies of concrete
application scenarios.