Abstract
Since 1984, the French Communicable Disease Network (FCDN) has collected data on eight communicable diseases.
This has allowed the investigation of the complex spatio-temporal dynamics of influenza-like diseases. We propose a model based on a neural network analogy to simulate the propagation of such epidemics. We simulated the spatio-temporal evolution of influenza epidemic which corresponds qualitatively to the actual data observed by the FCDN.
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© 1998 B. G. Teubner Verlagsgesellschaft Leipzig
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Toubiana, L., Vibert, JF. (1998). A Neural Network Model for the Spread of Communicable Diseases. 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_19
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DOI: https://doi.org/10.1007/978-3-322-95397-1_19
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
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Online ISBN: 978-3-322-95397-1
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