Présentation
During an epidemic or pandemic situations, decision makers use models to compare or to adapt strategies, particularly small world models. However, there is a need for designing stochastic models allowing many more options such as a multi-agents based population model (in a ratio of 1/100 for instance), several way-of-life and status, various kinds of asymmetrical relations between agents, several simultaneous outbreaks, heterogeneous exposure to epidemic infectious agents. Such a model must be able to take into account geographical data and to compare various strategies combining several interventions. Ideally, to be used during a health crisis, this model must input real time epidemiologic data and use software running fast on a personal computer or on mobile technologies. This work aims

• To design a stochastic model based on Multi-Agent Systems (MAS) paradigm, which allows simulation at different levels (individual and global) and have all advantages listed above,
• Then to evaluate a prototype version called Anydemic 1.0 ®, simulating a seasonal influenza outbreak in one country (France).

Apport d'Open Rome
Open Rome

• conçoit le modèle et le développe en association avec le laboratoire Santé-Individu-Société de l'université Lyon 1 (UCBL)
• réalise l'étude de faisabilité.

Partenaires
Université Lyon 1

Financement
Open Rome, sur ses fonds propres (recherche & développement)

Responsables
Docteur Jean Marie COHEN, Président d'Open Rome
Pr Michel LAMURE, professeur de mathématiques, laboratoire SIS, UCBL

Documents

• 2013 Options VIII. Cape Town. Anydémic. (Poster)

Contact
Open Rome, openrome@openrome.org, Tél : +33.1.56.55.51.51