科技报告详细信息
An environmental sampling model for combining judgment and randomly placed samples
Sego, Landon H. ; Anderson, Kevin K. ; Matzke, Brett D. ; Sieber, Karl ; Shulman, Stanley ; Bennett, James ; Gillen, M. ; Wilson, John E. ; Pulsipher, Brent A.
关键词: CONTAMINATION;    DECONTAMINATION;    RECOMMENDATIONS;    SAMPLING;    MATHEMATICAL MODELS;    BIOLOGICAL WARFARE AGENTS;    CHEMICAL WARFARE AGENTS;   
DOI  :  10.2172/962053
RP-ID  :  PNNL-16636
PID  :  OSTI ID: 962053
Others  :  Other: 400412000
Others  :  TRN: US200915%%255
学科分类:自然科学(综合)
美国|英语
来源: SciTech Connect
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【 摘 要 】

In the event of the release of a lethal agent (such as anthrax) inside a building, law enforcement and public health responders take samples to identify and characterize the contamination. Sample locations may be rapidly chosen based on available incident details and professional judgment. To achieve greater confidence of whether or not a room or zone was contaminated, or to certify that detectable contamination is not present after decontamination, we consider a Bayesian model for combining the information gained from both judgment and randomly placed samples. We investigate the sensitivity of the model to the parameter inputs and make recommendations for its practical use.

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