Abstract
In this paper, we present the methodology and the architecture of an early warning system for (1) detection of health risks, (2) prediction of the temporal and spatial spread of epidemics and (3) estimation of the consequences of an epidemic w.r.t. the personnel load and costs of the public health service. To cope this three task, we combine methods from statistics and artificial intelligence.
supported by the DFN-Verein (German society for the national research net) and the AOK Mecklenburg-Vorpommern (General health insurance company)
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© 1998 B. G. Teubner Verlagsgesellschaft Leipzig
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Bull, M., Kundt, G., Gierl, L. (1998). An Early Warning System for Detection and Prediction of Outbreaks of Epidemics. In: Gierl, L., Cliff, A.D., Valleron, AJ., Farrington, P., Bull, M. (eds) Geomed ’97. Informatik und Unternehmensführung. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-95397-1_16
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DOI: https://doi.org/10.1007/978-3-322-95397-1_16
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
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Online ISBN: 978-3-322-95397-1
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