A multi-scale, multi-paradigm epidemiological modelling language for investigating Q Fever regional infection dynamics

Abstract : The regional spread of Q fever, an endemic cat- tle zoonosis, relies upon airborne transmission and between-herd trade movements. Our goal was to be er understand the contribution of each pathway to yearly herd incidence by coupling within- and between-herd dynamics. To accelerate model design, explore multiple as- sumptions at each scale with a reduced amount of code to write, and enhance reliability, reusabil- ity and reproducibility, we used a generic frame- work, EMuLsion, which provides a domain-speci c language (DSL) for explicitly describing all compo- nents of epidemiological models, and relies upon a multi-level agent-based architecture to encompass existing modelling paradigms.
Liste complète des métadonnées

https://hal.inria.fr/hal-01705055
Contributeur : Cristal Equipe Smac <>
Soumis le : vendredi 9 février 2018 - 08:55:56
Dernière modification le : mardi 3 juillet 2018 - 11:39:13
Document(s) archivé(s) le : jeudi 10 mai 2018 - 12:19:13

Fichier

epidemics2017-poster.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01705055, version 1

Citation

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Thierry Hoch, Elisabeta Vergu, et al.. A multi-scale, multi-paradigm epidemiological modelling language for investigating Q Fever regional infection dynamics. 6th International Conference on Infectious Disease Dynamics (Epidemics 6), Nov 2017, Sitges, Barcelona, Spain. 2017, 〈https://www.elsevier.com/events/conferences/international-conference-on-infectious-disease-dynamics〉. 〈hal-01705055〉

Partager

Métriques

Consultations de la notice

228

Téléchargements de fichiers

19