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Modelling disease spread and control in networks: implications for plant sciences

Jeger, M. J., Pautasso, M., Holdenrieder, O. and Shaw, M. W. (2007) Modelling disease spread and control in networks: implications for plant sciences. New Phytologist, 174 (2). pp. 279-297. ISSN 0028-646X

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To link to this item DOI: 10.1111/j.1469-8137.2007.02028.x

Abstract/Summary

Networks are ubiquitous in natural, technological and social systems. They are of increasing relevance for improved understanding and control of infectious diseases of plants, animals and humans, given the interconnectedness of today's world. Recent modelling work on disease development in complex networks shows: the relative rapidity of pathogen spread in scale-free compared with random networks, unless there is high local clustering; the theoretical absence of an epidemic threshold in scale-free networks of infinite size, which implies that diseases with low infection rates can spread in them, but the emergence of a threshold when realistic features are added to networks (e.g. finite size, household structure or deactivation of links); and the influence on epidemic dynamics of asymmetrical interactions. Models suggest that control of pathogens spreading in scale-free networks should focus on highly connected individuals rather than on mass random immunization. A growing number of empirical applications of network theory in human medicine and animal disease ecology confirm the potential of the approach, and suggest that network thinking could also benefit plant epidemiology and forest pathology, particularly in human-modified pathosystems linked by commercial transport of plant and disease propagules. Potential consequences for the study and management of plant and tree diseases are discussed.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences
ID Code:10020
Uncontrolled Keywords:complex networks, disease management, epiphytotics, landscape, pathology, network structure, plant pathogens, small-world, spatial, dispersal, SCALE-FREE NETWORKS, SMALL-WORLD NETWORKS, SEXUALLY-TRANSMITTED-DISEASES, SUDDEN OAK DEATH, COMPLEX HETEROGENEOUS, NETWORKS, DISTANCE SEED DISPERSAL, INDIVIDUAL-BASED MODELS, SOCIAL, NETWORKS, INFECTIOUS-DISEASES, MOUTH-DISEASE

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