Information Accrual for Early Detection of Disasters and Recovery Planning
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Real-life disasters (including biological, radiological, natural and other types) result in, or involve, interactions among a range of physical phenomena involving a variety of mechanical, chemical, thermal, electromagnetic, viscous, and turbulent processes. The challenge is to make associations among the data derived from these processes, correlate them with biomarkers and healthcare data, and automate their use in a decision support system that embodies evidence-based Medicine and Command & Control concepts. Careful gathering and fusion of environmental and ambient data, together with biomedical and healthcare data, are at the heart of timely response to disasters.
Wooley, D. P.,
& Shingledecker, C.
(2007). Information Accrual for Early Detection of Disasters and Recovery Planning. IEEE Signal Processing Society, 1-5.
Presented at SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics (IEEE), Washington, DC.