A discrete, stochastic model and correction method for bacterial source tracking
Abstract (Summary)
by Mark Daniel Leach, M.S.
Washington State University
May 2007
Chair: Shira L. Broschat
We have developed a model to test several underlying assumptions of bacterial source tracking
(BST) when the BST method is based on detection of discrete genetic markers from source-specific
bacteria. The model consists of an environment and discrete-time input signals that represent
sources of contamination partitioned into marker-bearing and non-marker-bearing units “shed”
into the environment. Simulations run for different types of environmental contamination patterns
indicate that if hosts shed different percentages of BST markers, the environment cannot be accurately
characterized unless a correction method is used. The correction method, which requires
the solution to a linear system, reduces the mean error in estimating the proportions of host contamination
to below 3%. The effectiveness of the method depends on accurate knowledge of the
occurrence and prevalence of markers in the various hosts; this may be a challenging task, especially
if these values vary across populations in space and time. In addition, the correction method
does not compensate for environments with low-density or unmixed contamination. In conclusion,
our simulations highlight several fundamental challenges that may prevent absolute quantification
of fecal input using discrete marker BST.
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Bibliographical Information:
Advisor:
School:Washington State University
School Location:USA - Washington
Source Type:Master's Thesis
Keywords:stochastic models pathogenic microorganisms
ISBN:
Date of Publication: