Topic description

This PhD thesis focuses on the development of mathematical and computational approaches for the early detection and control of avian influenza in poultry farming systems in the French Antilles. The project will build on a multi-scale modeling framework combining within-host infection dynamics, within-farm transmission, and territorial spread between farms. The objective is to design early-warning tools based on heterogeneous data, including farm typology and sensor-derived indicators, and to study targeted intervention strategies capable of limiting epidemic amplification. By combining epidemic modeling, state estimation, spatial dynamics, and control theory, the thesis aims to contribute to a regional decision-support framework for the surveillance and management of zoonotic risks.

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