Abstract
The paper starts from the human influenza’s spreading phenomenon, as a complex of observable occurrences, and develops a stochastic process, defined as a set of procedures that convert its initial state into a sequence of different states during the phenomenon’s lifespan. The Monte Carlo simulation method for a stochastic discrete event system is used. This system is completely described in terms of: entities, sequential states, transition tables of states, sets of input/output events, internal/external transition function, events/time advance function, input/output parameters. The simulation can encompass several contagion schema and health policy responses. Finally, some information about the software in the field is given.
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Trandafir, R., Resteanu, C. (2012). Study of Human Influenza’s Spreading Phenomenon. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2011. Lecture Notes in Computer Science, vol 7116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29843-1_54
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DOI: https://doi.org/10.1007/978-3-642-29843-1_54
Publisher Name: Springer, Berlin, Heidelberg
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