Calculus of Variations and Geometric Measure Theory

G. Gilioli - A. Simonetto - M. Colturato - N. Bazarra - J. R. Fernandez - M. G. Naso - B. Donato - D. Bosco - C. Dongiovanni - A. Maiorano - O. Mosbach-Schulz - J. A. Navas Cort├ęs - M. Saponari

An eco-epidemiological model supporting rational disease management of Xylella fastidiosa. An application to the outbreak in Apulia (Italy)

created by michele on 10 Dec 2022

[BibTeX]

Published Paper

Inserted: 10 dec 2022
Last Updated: 10 dec 2022

Journal: Ecological Modelling
Volume: 476
Number: 110226
Pages: 10
Year: 2023
Doi: 10.1016/j.ecolmodel.2022.110226

Abstract:

Knowledge on the dynamics of Xylella fastidiosa infection is an essential element for the effective management of new foci. In this study, we propose an Eco-epidemiological Model (XEM) describing the infection dynamics of X. fastidiosa outbreaks. XEM can be applied to design disease management strategies and compare their level of efficacy. XEM is a spatial explicit mechanistic model for short-range spread of X. fastidiosa considering: i) the growth of the bacterium in the host plant, ii) the acquisition of the pathogen by the vector and its transmission to host plants, iii) the vector population dynamics, iv) the dispersal of the vector. The model is parametrized based on data acquired on the spread of X. fastidiosa subsp. pauca in olive groves in the Apulia region. Four epidemiological scenarios were considered combining host susceptibility and vector abundance. Eight management strategies were compared testing several levels of vector control efficacy, plant cutting radius, time to detection and intervention. Simulation results showed that the abundance of the vector is the key factor determining the spread rate of the pathogen. Vector control efficacy and time to detection and intervention emerged as the key factors for an effective eradication strategy. XEM proved to be a suitable tool to support decision making for the drafting and management of emergency plans related to new outbreaks.


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