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

被引:20
|
作者
Milne, Alice E. [1 ]
Gottwald, Tim [2 ]
Parnell, Stephen R. [3 ]
Chavez, Vasthi Alonso [1 ]
van den Bosch, Frank [4 ]
机构
[1] Rothamsted Res, Sustainable Agr Syst, Harpenden, Herts, England
[2] USDA ARS, Ft Pierce, FL USA
[3] Univ Salford, Sch Sci Engn & Environm, Ecosyst & Environm Res Ctr, Manchester, England
[4] Curtin Univ, Ctr Crop & Dis Management, Dept Environm & Agr, Perth, WA, Australia
基金
英国生物技术与生命科学研究理事会;
关键词
INFECTIOUS-DISEASES; CITRUS; DYNAMICS; BEHAVIOR; OPINION; NURSERY; VECTOR; IMPACT; SPREAD; MODEL;
D O I
10.1371/journal.pcbi.1007570
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Diseases in humans, animals and plants remain an important challenge in our society. Effective control of invasive pathogens often requires coordinated concerted action of a large group of stakeholders. Both epidemiological and human behavioural factors influence the outcome of a disease control campaign. In mathematical models that are frequently used to guide such campaigns, human behaviour is often ill-represented, if at all. Existing models of human, animal and plant disease that do incorporate participation or compliance are often driven by pay-offs or direct observations of the disease state. It is however very well known that opinion is an important driving factor of human decision making. Here we consider the case study of Citrus Huanglongbing disease (HLB), which is an acute bacterial disease that threatens the sustainability of citrus production across the world. We show how by coupling an epidemiological model of this invasive disease with an opinion dynamics model we are able to answer the question: What makes or breaks the effectiveness of a disease control campaign? Frequent contact between stakeholders and advisors is shown to increase the probability of successful control. More surprisingly, we show that informing stakeholders about the effectiveness of control methods is of much greater importance than prematurely increasing their perceptions of the risk of infection. We discuss the overarching consequences of this finding and the effect on human as well as plant disease epidemics.
引用
收藏
页数:20
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