Data from: Using sensitivity analysis to identify key factors for the propagation of a plant epidemic

Loup Rimbaud, Claude Bruchou, Sylvie Dallot, David R.J. Pleydell, Emmanuel Jacquot, Samuel Soubeyrand, Gaël Thébaud & David R. J. Pleydell
Identifying the key factors underlying the spread of a disease is an essential but challenging prerequisite to design management strategies. To tackle this issue, we propose an approach based on sensitivity analyses of a spatiotemporal stochastic model simulating the spread of a plant epidemic. This work is motivated by the spread of sharka, caused by Plum pox virus, in a real landscape. We first carried out a broad-range sensitivity analysis, ignoring any prior information on...
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