DUTOT, Antoine; MAGAL, Pierre; OLIVIER, Damien; SAVIN, Guilhelm

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DUTOT, Antoine
Equipe Réseaux d'interactions et Intelligence Collective [RI2C - LITIS]

MAGAL, Pierre
Institut de Mathématiques de Bordeaux [IMB]

OLIVIER, Damien
Equipe Réseaux d'interactions et Intelligence Collective [RI2C - LITIS]

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Ce document a été publié dans

Eurosis, editor, European Simulation and Modelling Conference, Eurosis, editor, European Simulation and Modelling Conference, European Simulation and Modelling Conference, 2006, Toulouse. p. 440-449

Résumé en anglais

Nosocomial diseases are pathologies that appear during medical care that were not present at patient admission. Being able to simulate the propagation of such diseases inside an hospital and to track them is therefore important to fight and avoid them. The Pyocyanic Bacillus is a frequent example of such a disease. It is important to understand how such bacteria propagate since more and more of their strains become antibiotic resistant. Therefore we must not only be able to treat them, but also to block their diffusion to avoid them. The work presented here consist in a simulation of the propagation of pyos inside an hospital taking spatial problems into account, and allowing to better understand the infection diffusion mechanisms and to propose some means to circumvent it. The simulation considers both the spacial representation of the hospital, and the different actors, healthcare workers, patients and visitors.< Réduire

Mots clés en anglais

Pyocyanic bacillus

Antibiotic

Nosocomial

IBM

ACO

Ant Algorithm

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PYOCYANIC BACILLUS PROPAGATION SIMULATION

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Résumé en anglais

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