What makes or breaks a campaign to stop an invading plant pathogen?

A - Papers appearing in refereed journals

Milne, A., Gottwald, T., Parnell, S. R., Alonso Chavez, V. and Vandenbosch, F. 2020. What makes or breaks a campaign to stop an invading plant pathogen? PLOS Computational Biology. 16 (2), p. e1007570. https://doi.org/10.1371/journal.pcbi.1007570

AuthorsMilne, A., Gottwald, T., Parnell, S. R., Alonso Chavez, V. and Vandenbosch, F.
Abstract

Diseases in humans, animals and plants remain an important challenge in our society. Effective disease control often requires coordinated concerted action of a large group of stakeholders. Both epidemiological and human behavioral factors influence the outcome of a disease control campaign. In mathematical models, that are frequently used to guide such campaigns, human behavior is often ill represented, if at all. Existing models of human, animal and plant disease that do incorporate participation or compliance are exclusively driven by pay-offs or direct observations of the disease state (1, 2). It is however very well known that opinion is the driving factor of human decision making (3). Here we show how coupling an epidemiological model with an opinion dynamic model it is possible to answer the question: What makes or breaks a disease control campaign? We use Huanglongbing disease of citrus as our case study.

Year of Publication2020
JournalPLOS Computational Biology
Journal citation16 (2), p. e1007570
Digital Object Identifier (DOI)https://doi.org/10.1371/journal.pcbi.1007570
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Natural Environment Research Council
Funder project or codeASSIST - Achieving Sustainable Agricultural Systems
S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales
BBSRC Strategic Programme in Smart Crop Protection
Publisher's version
Accepted author manuscript
Supplemental file
Output statusPublished
Publication dates
Online06 Feb 2020
Publication process dates
Accepted26 Nov 2019
PublisherAmerican Association for the Advancement of Science (AAAS)
Public Library of Science (PLOS)
Copyright licenseCC BY
ISSN1553-734X

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