Dynamics of invasive arthropod vectors: bridging correlative and mechanistic models for comprehensive understanding

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 a postdoctoral researcher at the University of Trento. His current research focuses on developing and applying correlative and mechanistic species distribution models to unravel the complexities of invasive arthropods to address the challenges posed by vector-borne diseases.