Evidence map›Paper›PMID 32027649›Full record

ArticlePLoS computational biology2020

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

Alice E Milne, Tim Gottwald, Stephen R Parnell, Vasthi Alonso Chavez, Frank van den Bosch

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Insects · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alice E MilneSustainable Agricultural Systems, Rothamsted Research, Harpenden, United Kingdom.ORCID 0000-0002-4509-0578
Tim GottwaldUSDA-ARS Fort Pierce, Florida, United States of America.ORCID 0000-0003-0885-8004
Stephen R ParnellEcosystems and Environment Research Centre, School of Science, Engineering and Environment, University of Salford, Greater Manchester, United Kingdom.
Vasthi Alonso ChavezSustainable Agricultural Systems, Rothamsted Research, Harpenden, United Kingdom.ORCID 0000-0003-3506-7603
Frank van den BoschDepartment of Environment and Agriculture, Centre for Crop and Disease Management, Curtin University, Perth, Australia.

Funding

Biotechnology and Biological Sciences Research Council BB/J/00426X/1Biotechnology and Biological Sciences Research Council BBS/E/C/000I0330Biotechnology and Biological Sciences Research Council BBS/OS/CP/000001
6 · The paper itself

Abstract

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.

Indexed as

CitrusDisease OutbreaksModels, TheoreticalPlant DiseasesRhizobiaceaeSeasons

Identifiers

PMID32027649
PMCPMC7004315

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.