Models of epidemics in complex networks are improving our predictive understanding of infectious dis-
ease outbreaks. Nonetheless, applying network theory to plant pathology is still a challenge. This overview sum-
marizes some key developments in network epidemiology
that are likely to facilitate its application in the study
and management of plant diseases. Recent surveys have provided much-needed datasets on contact patterns and
human mobility in social networks, but plant trade networks are still understudied. Human (and plant) mobility levels
across the planet are unprecedented—there is thus much potential in the use of network theory by plant health au-
thorities and researchers. Given the directed and hierarchical nature of plant trade networks, there is a need for plant
epidemiologists to further develop models based on undirected and homogeneous networks. More realistic plant health
scenarios would also be obtained by developing epidemic models in dynamic, rather than static, networks. For plant
diseases spread by the horticultural and ornamental trade, there is the challenge of developing spatio-temporal epi-
demic simulations integrating network data. The use of network theory in plant epidemiology is a promising avenue and
could contribute to anticipating and preventing plant health emergencies such as European ash dieback.