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Advances in computer processing, Geographic Information System (GIS), Remote Sensing (RS) and Global Positioning System (GPS) technologies now make it easier to integrate ecological environmental, and remotely sensed data for the purpose of developing predictive models that can be used in public health disease surveillance and control activities. These new capabilities will bring significant improvements in spectral, spatial, and temporal resolution, thereby making it possible to address public health issues previously thought to be beyond the capabilities of remote sensing.