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
Authors | Milne, A., Gottwald, T., Parnell, S. R., Alonso Chavez, V. and Vandenbosch, F. |
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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 Publication | 2020 |
Journal | PLOS Computational Biology |
Journal citation | 16 (2), p. e1007570 |
Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pcbi.1007570 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Natural Environment Research Council | |
Funder project or code | ASSIST - 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 status | Published |
Publication dates | |
Online | 06 Feb 2020 |
Publication process dates | |
Accepted | 26 Nov 2019 |
Publisher | American Association for the Advancement of Science (AAAS) |
Public Library of Science (PLOS) | |
Copyright license | CC BY |
ISSN | 1553-734X |
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