Using Design-Based Adaptive Sampling Procedures in Site Decontamination
Myron J. Katzoff, (National Center for Health Statistics), firstname.lastname@example.org,
Abera Wouhib, (National Center for Health Statistics), email@example.com, and
Joe Fred Gonzalez, Jr., (National Center for Health Statistics), firstname.lastname@example.org
In this paper, we consider the application of finite-population design-based sampling procedures in a spatial context to decontamination of a site where there is a significant public health risk of anthrax exposure. Through computer simulation, we study the properties of adaptive sampling procedures employed in the search of a bounded three-dimensional space that serves as a model of the site. For a finite set of designs, we compare the operational efficiency of procedures, as measured by percent of contamination eliminated, and examine the variation in detection probabilities with choices of selection-unit parameters, cloud-density and design complexity.