Quantifying Invasive Pest Dynamics through Inference of a Two-Node Epidemic Network Model

Quantifying Invasive Pest Dynamics through Inference of a Two-Node Epidemic Network Model

Invasive woodland pests have substantial ecological, economic, and social impacts, harming biodiversity and ecosystem services. Mathematical modelling informed by Bayesian inference can deepen our understanding of the fundamental behaviours of invasive pests and provide predictive tools for forecast...

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Bibliographic Details
Main Authors: Laura E. Wadkin, Andrew Golightly, Julia Branson, Andrew Hoppit, Nick G. Parker, Andrew W. Baggaley
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diversity
Subjects:
invasive pests
network epidemic models
compartmental epidemic models
oak processionary moth
Bayesian inference
SIR model
Online Access:https://www.mdpi.com/1424-2818/15/4/496

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