Evidence map›Paper›PMID 31615355›Full record

ArticleProceedings. Biological sciences2019

Assessing the multi-pathway threat from an invasive agricultural pest:

Joseph McNitt, Young Yun Chungbaek, Henning Mortveit, Madhav Marathe, Mateus R Campos, Nicolas Desneux, Thierry Brévault, Rangaswamy Muniappan, Abhijin Adiga

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Joseph McNittEpic Systems Corporation, Verona, WI, USA.
Young Yun ChungbaekBiocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, USA.
Henning MortveitBiocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, USA.
Madhav MaratheBiocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, USA.
Mateus R CamposFrench National Institute for Agricultural Research, Avignon, Provence-Alpes-Côte d'Azu, France.
Nicolas DesneuxUniversité Côte d'Azur, INRA, CNRS, UMR ISA, 06000, Nice, France.
Thierry BrévaultBIOPASS, CIRAD-IRD-ISRA-UCAD, Dakar, Senegal.
Rangaswamy MuniappanFeed the Future Integrated Pest Management Innovation Laboratory, Virginia Tech, Blacksburg VA, USA.
Abhijin AdigaBiocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, USA.

Funding

Systems Analysis of Social Pathways of Epidemics to Reduce Health DisparitiesR01GM109718 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MARATHE, ACHLA, VULLIKANTI, ANIL · 2014 to 2022
$3.6M
NIGMS NIH HHS R01 GM109718
6 · The paper itself

Abstract

Modern food systems facilitate rapid dispersal of pests and pathogens through multiple pathways. The complexity of spread dynamics and data inadequacy make it challenging to model the phenomenon and also to prepare for emerging invasions. We present a generic framework to study the spatio-temporal spread of invasive species as a multi-scale propagation process over a time-varying network accounting for climate, biology, seasonal production, trade and demographic information. Machine learning techniques are used in a novel manner to capture model variability and analyse parameter sensitivity. We applied the framework to understand the spread of a devastating pest of tomato,

Indexed as

Introduced SpeciesMothsAgricultureAnimalsSolanum lycopersicumagent-based modellingbiological invasionepidemic network modelshuman-mediated spreadinsect pestsspread model

Identifiers

PMID31615355
PMCPMC6834037

What OpenQuestion holds

Textmetadata
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.