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.
