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Analytics and Modeling of Human Health Risks from Testing and Sampling
Historical sampling techniques and analytical methods for measuring airborne asbestos differ from modern approaches due to technological advancements as well as changes in anticipated airborne concentrations. To answer modern questions about exposure intensity consistent with historical work activities, our scientists designed a study to provide robust data analytics and evaluate correlations between time and task-activity. The analytical results were then subjected to a Monte Carlo analysis in preparation for mathematical modeling in order to fill data gaps and inform on the relative risks of two disparate historical work techniques involving asbestos-containing building materials.


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