TAILIEUCHUNG - Complex environment representation in epidemiology ABM: Application on H5N1 propagation
Agent-based models (ABM) are becoming standard tools to study complex systems especially in ecology and more recently in epidemiology. The developments of models in these domains have highlighted the need for more complex representations of the environment. In this paper, we present an individual-based epidemiological model that has the particularity to make heavy use of geographic data and complex spatial operations. | Journal of Science and Technology Volume 48, Issue 4, 2010 pp. 13-25 COMPLEX ENVIRONMENT REPRESENTATION IN EPIDEMIOLOGY ABM: APPLICATION ON H5N1 PROPAGATION EDOUARD AMOUROUX, PATRICK TAILLANDIER, ALEXIS DROGOUL ABSTRACT Agent-based models (ABM) are becoming standard tools to study complex systems especially in ecology and more recently in epidemiology. The developments of models in these domains have highlighted the need for more complex representations of the environment. In this paper, we present an individual-based epidemiological model that has the particularity to make heavy use of geographic data and complex spatial operations. From this example, we review several popular ABM simulation platforms. These platforms do not answer such model’s requirements in a whole. In order to answer this problem, we propose a new approach to represent the environment in ABM. This approach along numerous spatial operations tools has been implemented in the GAMA simulation platform, which is described in this paper. Keywords. agent-based model, environment representation, epidemiology, simulation. 1. INTRODUCTION The H5N1 virus, which causes the avian influenza, is still a major threat for both economy and health. It has spread over Asia, Europe and some parts of Africa. Nowadays, the endemic appears to be circumscribed to South East Asia mainly. Nevertheless, the eradication of the virus is far from being achieved, and especially in Vietnam, where it is considered as endemic [1]. Many prophylactic measures such as improved hygiene, vaccination, monitoring and so on have been tested to eradicate the virus but none are really successful yet. Thus this eradication is one of the greatest challenges for modern epidemiology. According to epidemiologists, proposal of effective prophylactic measures need to rely on a good knowledge of the propagation and persistence mechanisms of the virus at a local scale. Concerning this propagation, epidemiologists have already proposed several
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