Towards ensemble modelling for the passive surveillance of invasive arthropod vectors

Abstract:
This seminar aims to provide an overview of the application of correlative and mechanistic models in comprehending the dynamics of invasive arthropod vectors. Correlative models exploit statistical associations, employing environmental variables to forecast vector distribution. Simultaneously, mechanistic models scrutinize the fundamental biological processes steering vector behaviour. The integration of these methodologies facilitates a comprehensive grasp of invasion patterns. Throughout the seminar, diverse examples will be examined, emphasizing the importance of merging statistical correlations with mechanistic insights to unravel the complexities of invasive arthropods, fostering a more robust framework for addressing the challenges posed by vector-borne diseases.

Bio:
Daniele Da Re is interested in spatial analysis and spatial modelling applied to biodiversity and epidemiology. He obtained a PhD in Disease Biogeography at the UCLouvain (Belgium) and he is currently a Marie Skłodowska-Curie postdoctoral fellow at the Edmund Mach Foundation (Italy).