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.

Pacific Northwest National Laboratory (U.S.)

关键词: Biological Warfare Agents;    Decontamination;    Recommendations;    Sampling;    Contamination;   

DOI  :  10.2172/962053
RP-ID  :  PNNL-16636
RP-ID  :  AC05-76RL01830
RP-ID  :  962053

美国|英语

来源: UNT Digital Library

【 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.