A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution
of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies.
It is based on a spatial geometry for describing the landscape and allocation of different cultivars,
a dispersal kernel for the dissemination of the pathogen, and a SEIR
('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
It provides a useful tool to assess the performance of a wide range of deployment options with
respect to their epidemiological, evolutionary and economic outcomes.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018)