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Identité
Thi-Mai-Anh BUI
État académique
Thèse soutenue le 2016-12-09
Sujet: Séparation des préoccupations en épidémiologie
Direction de thèse:
Encadrement de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-01276034
Separation of Concerns in Epidemiological Modelling
International audience
Modelling and simulation have been heavily used in epidemiology, for instance to study the transmission of infectious diseases, their pathogenicity and their propagation.A major hindrance to modelling in epidemiology is the mixing of concerns that ought to be separated. The most obvious one is the computer implementation that should not be mixed with domain aspects. But several domain concerns should also be separated from the core epidemiological ones. These include the distribution of the studied populations into spatial regions, age intervals, sexes, species, viral strains... We propose an approach that relies on a mathematical model of the dynamics of a compartment-based population. The separation of domain concerns is provided by expressing each one as a stochastic automaton and combining them with a tensor sum. A DSL, Kendrick, and a tool, support this approach that has been validated on several case studies.
Modularity in Modelling (momo'16) - Workshop of the 15th International Conference on Modularity http://hal.upmc.fr/hal-01276034 Modularity in Modelling (momo'16) - Workshop of the 15th International Conference on Modularity, Mar 2016, Malaga, Spain. pp.196-200, 2016, <http://www.momo2016.ece.mcgill.ca/index.htm>. <10.1145/2892664.2892699> http://www.momo2016.ece.mcgill.ca/index.htmARRAY(0x7f0400e260c0) 2016-03-15
oai:hal.archives-ouvertes.fr:hal-01377090
International audience
Mathematical modelling of infectious diseases often uses simulation models in order to explore transmission mechanisms and to plan potential management strategies to control the epidemics. However, bridging the gap between the conceptual model of epidemiology and its simulation on computer can lead to some issues related to the lack of expressiveness of implemented models and their reusability and adaptability to new circumstances due to detail computer instructions in General-purpose Programming Languages (GPLs). In this paper, we propose to develop a Domain Specific Language (DSL) for expressively specifying mathematical models of epidemiology and to construct a flexible simulation environment for investigating them. We then use our proposed approach to experiment the measles model in different epidemiological aspects. Our platform is also validated through statistical comparisons between time series generated and theoretical expectations, consequently keeping the link with literature on mathematical epidemiology.
2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF) 11th IEEE-RIVF International Conference on Computing and Communication Technologies (RIFV 2015) https://hal.archives-ouvertes.fr/hal-01377090 11th IEEE-RIVF International Conference on Computing and Communication Technologies (RIFV 2015), Jan 2015, Can Tho, Vietnam. 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), pp.132-137, 2015, <10.1109/RIVF.2015.7049888>ARRAY(0x7f0400c69610) 2015-01-25
Soutenance
Thèse: Séparation des préoccupations en épidémiologie
Soutenance: 2016-12-09
Rapporteurs: Eric RAMAT    Mireille BLAY-FORNARINO