Network epidemiology and plant trade networks

Area of Science:

• Plant pathology
• Epidemiology
• Network science

Background:

• Network epidemiology models are advancing infectious disease outbreak prediction.
• Applying network theory to plant pathology remains a significant challenge.
• Plant trade networks are understudied compared to human social networks.

Purpose of the Study:

• To summarize key developments in network epidemiology relevant to plant disease study and management.
• To highlight the potential of network theory for plant health authorities and researchers.
• To identify areas for future model development in plant epidemiology.

Main Methods:

• Review of recent developments in network epidemiology.
• Analysis of the characteristics of plant trade networks (directed, hierarchical).
• Discussion of the need for dynamic and non-homogeneous network models.

Main Results:

• Human and plant mobility are at unprecedented global levels, offering potential for network theory application.
• Existing network models often assume undirected and homogeneous networks, which do not fully represent plant trade.
• Dynamic network models and spatio-temporal simulations integrating network data are needed for realistic plant disease scenarios.

Conclusions:

• Network theory offers a promising avenue for improving the study and management of plant diseases.
• Further development of network models tailored to the complexities of plant trade is crucial.
• This approach can aid in anticipating and preventing plant health emergencies, such as European ash dieback.