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Modelling cooling tower risk for Legionnaires' Disease using Bayesian Networks and Geographic Information SystemsWilmot, Peter Nicholas. January 1999 (has links) (PDF)
Includes bibliographical references (leaves 115-120) Establishes a Bayesian Belief Network (BBN) to model uncertainty of aerosols released from cooling towers and Geographic Information Systems (GIS) to create a wind dispersal model and identify potential cooling towers as the source of infection. Demonstrates the use of GIS and BBN in environmental epidemiology and the power of spatial information in the area of health.
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