Author

A. Vicent

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:Bayesian inference· 1 Research Focus:ecology & biodiversity· 1 Organism:plant (other)· 1

Frequent Co-Authors

D. Conesa· 3 shared A. Lopez-Quilez· 2 shared A. Ferrer-Matoses· 1 shared A. Hubel· 1 shared E. Lazaro· 1 shared E. Sedano· 1 shared J. L. Mira· 1 shared J. Martinez-Minaya· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersPathology

D. Conesa

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Author profile →

4 papers

Recent·Most cited

Inoculum and disease dynamics of citrus greasy spot caused by Zasmidium citri-griseum in sweet orange in Panama

V. Aguilera-Cogley, E. Sedano, A. Vicent

This study examines the dynamics of citrus greasy spot caused by Zasmidium citri-griseum in Panama, linking defoliation, inoculum production, and environmental factors to inform sustainable disease management.

bioRxiv · Aug 26, 2022Pathology

Barrier effects on the spatial distribution of Xylella fastidiosa in Alicante, Spain

M. Cendoya, A. Hubel, D. Conesa, A. Vicent

The paper evaluates how different barriers affect the spatial distribution of Xylella fastidiosa in Alicante, Spain, using Bayesian hierarchical models to assess non-stationarity in disease spread.

bioRxiv · Apr 1, 2021Pathology

Tracking the outbreak. An optimized delimiting survey strategy for Xylella fastidiosa.

E. Lazaro, M. Sese, A. Lopez-Quilez, D. Conesa, V. Dalmau, A. Ferrer-Matoses, A. Vicent

The paper develops and implements an optimized sequential adaptive delimiting survey strategy for Xylella fastidiosa outbreaks, improving efficiency by adapting sampling intensity based on spatial resolution.

bioRxiv · Mar 5, 2020 · PreprintPathology

Modelling Inoculum Availability of Plurivorosphaerella nawae in Persimmon Leaf Litter with Bayesian Beta Regression

J. Martinez-Minaya, D. Conesa, A. Lopez-Quilez, J. L. Mira, A. Vicent

The paper develops a Bayesian beta regression model to predict inoculum availability of Plurivorosphaerella nawae in persimmon leaf litter, improving upon ascospore count methods.

bioRxiv · Sep 18, 2019Pathology