Scale, Resolution and Missing Data in a Long Term Spatiotemporal Epidemiological Study
Robert Corner*, Grit Schuster and Bernhard Klingseisen
Department of Spatial Sciences, Curtin University, Perth Western, Australia
Abstract: As part of Australia's biosecurity effort we are working to understand the relationship between the spatiotemporal variability of climatic and environmental conditions and the occurrence of two vector-borne viruses; Murray Valley Encephalitis Virus (MVEV) which causes disease in humans and Bluetongue Virus (BTV) which causes disease in animals. This involves bringing together remotely sensed and, other environmental data with long term serological test data for disease occurrence in sentinel animals. In working with these datasets we are faced with a number of challenges involving scale, resolution and data completeness.
Keywords: Epidemiology, uncertainty, sparse data sets, Remote Sensing