casa 17(11): e1

Research Article

Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model

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  • @ARTICLE{10.4108/eai.6-3-2017.152334,
        author={Nghi Quang Huynh and Tri Nguy en-Huu and Arna ud Grignard and Hiep Xuan Huynh and Alexis Drog oul},
        title={Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={4},
        number={11},
        publisher={EAI},
        journal_a={CASA},
        year={2017},
        month={3},
        keywords={Equa tion-based model, agent-based model, coupling framew ork, sim ula tion pla tform, epidemiol ogy},
        doi={10.4108/eai.6-3-2017.152334}
    }
    
  • Nghi Quang Huynh
    Tri Nguy en-Huu
    Arna ud Grignard
    Hiep Xuan Huynh
    Alexis Drog oul
    Year: 2017
    Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model
    CASA
    EAI
    DOI: 10.4108/eai.6-3-2017.152334
Nghi Quang Huynh1, Tri Nguy en-Huu2,*, Arna ud Grignard3, Hiep Xuan Huynh1, Alexis Drog oul4
  • 1: DREAM-CTU/IRD, CICT-CTU, Cantho, Vietnam
  • 2: IRD, Centre Ile-de-F rance, 32 avenue Henri Varagna t, 93140 Bondy , France, Facul té des Sciences de Semlalia, Univ ersité Cadi Ayyad, Marr akech, Maroc, IXXI, ENS Lyon, 46 allée d’Italie, 69364 Lyon Cedex 07
  • 3: IXXI, ENS Lyon, 46 allée d’Italie, 69364 Lyon Cedex 07
  • 4: IRD, Centre Ile-de-F rance, 32 avenue Henri Varagna t, 93140 Bondy , France, Univ ersity of Science and Technol ogy of Hanoi, Hanoi, Vietnam
*Contact email: tri.nguyen-huu@ens-lyon.fr

Abstract

Modeling in ecol ogy or epidemiol ogy gener all y opposes tw o classes of models, Equa tion Based Models and Agent Based Models. Mathema tical models all ow predicting the long- term dynamics of the studied systems. How ever, the variability betw een individ uals is diÿcul t to represen t, wha t makes these more suitable models for larg e and homog eneous popula tions. Mul ti-agent models all ow represen ting the attributes and beha vior of each individ ual and theref ore provide a grea ter lev el of detail. In return, these systems are more diÿcul t to anal yze. These approaches have often been compared, but rarel y used sim ul taneousl y. We propose a hybrid approach to couple equa tions models and agent-based models, as well as its implemen tation on the modeling pla tform Gama [8]. We focus on the represen tation of a classical theoretical epidemiol ogical model (SIR model) and we ill ustr ate the construction of a class of models based on it.