Evidence map›Paper›PMID 31847125›Full record

ArticleViruses2019

Modelling Vector Transmission and Epidemiology of Co-Infecting Plant Viruses.

Linda J S Allen, Vrushali A Bokil, Nik J Cunniffe, Frédéric M Hamelin, Frank M Hilker, Michael J Jeger

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.9field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  9. Viruses · 2022
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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

6 authors at 6 institutions in 4 countries.

Linda J S AllenDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX 79409, USA.
Vrushali A BokilDepartment of Mathematics, Oregon State University, Corvallis, OR 97331, USA.
Nik J CunniffeDepartment of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK.
Frédéric M HamelinIGEPP, Agrocampus Ouest, INRA, Université de Rennes 1, Université Bretagne-Loire, 35000 Rennes, France.ORCID 0000-0003-2653-699X
Frank M HilkerInstitute of Environmental Systems Research, School of Mathematics/Computer Science, Osnabrück University, 49069 Osnabrück, Germany.
Michael J JegerCentre for Environmental Policy, Imperial College London, Ascot SL5 7PY, UK.
Imperial College London · GBInstitut Agro Rennes-Angers · FROregon State University · USOsnabrück University · DETexas Tech University · USUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-infection of plant hosts by two or more viruses is common in agricultural crops and natural plant communities. A variety of models have been used to investigate the dynamics of co-infection which track only the disease status of infected and co-infected plants, and which do not explicitly track the density of inoculative vectors. Much less attention has been paid to the role of vector transmission in co-infection, that is, acquisition and inoculation and their synergistic and antagonistic interactions. In this investigation, a general epidemiological model is formulated for one vector species and one plant species with potential co-infection in the host plant by two viruses. The basic reproduction number provides conditions for successful invasion of a single virus. We derive a new invasion threshold which provides conditions for successful invasion of a second virus. These two thresholds highlight some key epidemiological parameters important in vector transmission. To illustrate the flexibility of our model, we examine numerically two special cases of viral invasion. In the first case, one virus species depends on an autonomous virus for its successful transmission and in the second case, both viruses are unable to invade alone but can co-infect the host plant when prevalence is high.

Indexed as

CoinfectionDisease VectorsAlgorithmsAnimalsModels, BiologicalPlant DiseasesPlant Virusesco-infectioninvasion reproduction numbervector transmission

Identifiers

PMID31847125
PMCPMC6950130
OpenAlexW2995627328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.