Alex Gimenez

Àlex Giménez Romero
Perfil

My current research focuses on developing mathematical and computational models in the context of epidemiology and ecology. In particular, I am modelling the epidemics causing the Mass Mortality Event of Pinna nobilis, and the emergent epidemics in almond trees and vineyards caused by the bacterium Xylella fastidiosa in Europe. Besides, I am developing Machine Learning models to detect and classify different seagrass and algae species from satellite images and analyzing worldwide spatial data of coral reefs.

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GitHub Profile

Publicacions recents

Degree-day-based model to predict egg hatching of Philaenus spumarius (Hemiptera: Aphrophoridae), the main vector of Xylella fastidiosa in Europe

Lago, Clara; Giménez-Romero, Àlex; Morente, Marina; Matías, Manuel A.; Moreno, Aránzazu; Fereres, Alberto
Environmental Entomology , accepted (2023)

A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics

Giménez-Romero, Àlex; Moralejo, Eduardo; Matias, Manuel A.
Submitted (2023)

Global risk predictions for Pierce’s disease of grapevines

Giménez-Romero, Àlex; Galván, Javier; Montesinos, Marina; Bauzà, Joan; Godefroid, Martin; Fereres, Alberto; Ramasco, José J.; Matias, Manuel A.; Moralejo, Eduardo
Communications Biology 5, 1389 (1-13) (2022)

Vector-borne diseases with non-stationary vector populations: the case of growing and decaying populations

Giménez-Romero, Àlex; Flaquer-Galmés, Rosa; Matias, Manuel A.
Physical Review E 106, 054402 (1-11) (2022)

Spatial effects in parasite induced marine diseases of immobile hosts

Giménez-Romero, Àlex; Vázquez, Federico; López, Cristóbal; Matías, Manuel A.
Royal Society Open Science 9, 212023 (1-14) (2022)

Projectes de recerca recents i vigents

CYCLE

Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.

I.P.: Damià Gomila, Tomás Sintes
Complex Dynamics of Coastal Ecosystems: Resilience to Climate Change (CYCLE) is a coordinated multidisciplinary research project that brings together the efforts of experts in the fields of marine ecology and the physics ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

I.P.: Manuel Matías, Tomás Sintes
The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...

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