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.
| Identifer | oai:union.ndltd.org:ADTP/115298 |
| Date | January 1999 |
| Creators | Wilmot, Peter Nicholas. |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Relation | SUA |
Page generated in 0.0015 seconds