An environmental sampling model for combining judgmental and randomly placed samples
Public Domain
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2007/08/01
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Details
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Personal Author:Anderson KK ; Bennett J ; Gillen, Matthew ; Matzke BD ; Pulsipher BA ; Sego LH ; Shulman S ; Sieber, W. Karl ; Wilson JE
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Description:In the event of the release of a lethal agent (i.e. Bacillus anthracis) 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 the decision area was contaminated, or to certify that detectable contamination is not present after decontamination, we developed a Bayesian model for combining the information gained from both judgmental and randomly placed samples. The approach permits investigators to determine the sample size required to achieve a defined level of statistical confidence that a decision area is free of detectable contamination, when none of the samples indicate the presence of contamination. We present herein the model, an example of how it may be used, a discussion of its sensitivity to parameter inputs, and recommendations for its practical use. [Description provided by NIOSH]
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Pages in Document:1-19
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NIOSHTIC Number:nn:20037968
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Citation:Washington, DC: U.S. Department of Energy, 2007 Aug; :1-19
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Federal Fiscal Year:2007
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Performing Organization:Pacific Northwest National Laboratory
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Peer Reviewed:False
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Source Full Name:An environmental sampling model for combining judgmental and randomly placed samples
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Main Document Checksum:urn:sha-512:61365ac6777fb74d3385fb6703b11b1e9d6e3f9b868f5ba3223e0c64c36449fe82fb85fc02b9c907d64f738102c2204a1b0146add3b8d970db2e75f016021c83
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