Alex Gimenez
- IFISC (CSIC-UIB)
- Campus Universitat de les Illes Balears E-07122 Palma de Mallorca. Spain
- Office S17
- +34 971 25 99 03
- alex@ifisc.uib-csic.es
- Supervisor: Manuel Matías
Profile
Generally speaking, my research is about epidemics of immobile hosts. In particular, I am studying the epidemics caused by the bacterium Xylella fastidiosa (Almond Leaf Scorch Disease, Pierce Disease, Olive Quich Decline Syndrome) and the parasite Haplosporidium pinnae (Mass Mortality Event of Pinna nobilis).
GitHub profile: https://github.com/agimenezromero
Recent Publications
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics
Giménez-Romero, Àlex; Moralejo, Eduardo; Matias, Manuel A.Submitted (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)
Coastal pH variability reconstructed through machine learning: the Balearic Sea case study
Flecha, Susana; Giménez-Romero, Àlex; Tintoré, Joaquı́n; Pérez, Fiz F.; Alou-Font, Eva; Matías, Manuel A.; Hendriks, Iris E.Scientific Reports 12, 12956 (1-11) (2022)
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, AlbertoSubmitted (2022)
Ongoing Research projects
CYCLE
Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.
P.I.: 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
P.I.: 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 ...