Information Accrual for Early Detection of Disasters and Recovery Planning

Authors

Dawn P. Wooley, Wright State University - Main CampusFollow
Forouzan Golshani
Clark Shingledecker, Wright State University - Main CampusFollow

Document Type

Conference Proceeding

Publication Date

2007

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Abstract

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.

Comments

Presented at SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics (IEEE), Washington, DC.

Repository Citation

Wooley, D. P., Golshani, F., & Shingledecker, C. (2007). Information Accrual for Early Detection of Disasters and Recovery Planning. IEEE Signal Processing Society, 1-5.
https://corescholar.libraries.wright.edu/ncbp/184