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Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 30579

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Tuberculosis Modelling Using Bio-PEPA Approach
Modelling is a widely used tool to facilitate the evaluation of disease management. The interest of epidemiological models lies in their ability to explore hypothetical scenarios and provide decision makers with evidence to anticipate the consequences of disease incursion and impact of intervention strategies. All models are, by nature, simplification of more complex systems. Models that involve diseases can be classified into different categories depending on how they treat the variability, time, space, and structure of the population. Approaches may be different from simple deterministic mathematical models, to complex stochastic simulations spatially explicit. Thus, epidemiological modelling is now a necessity for epidemiological investigations, surveillance, testing hypotheses and generating follow-up activities necessary to perform complete and appropriate analysis. The state of the art presented in the following, allows us to position itself to the most appropriate approaches in the epidemiological study.
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[1] E. Amouroux, S. Desvaux, A. Drogoul, "Towards virtual epidemiology: an agent-based approach to the modeling of H5N1 propagation and persistence in North-Vietnam”, journal of Intelligent Agents and Multi-Agent Systems, Springer, p.26-33, (2008).
[2] E. Amouroux, P. Taillandier, A. Drogoul, & Nord, I. R. D. F, « Complex environment representation in epidemiology ABM: application on H5N1 propagation », 1–12, (2010).
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[34] A. J. Valleron, « L'épidémiologie humaine: Conditions de son développement en France, et rôle des mathématiques », Volume 23 de Rapport sur la science et la technologie : RST / Académie des sciences , EDP Sciences, 2868837964, 9782868837967, 424 pages, (2006).
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