Marius Gilbert

This study adapts a machine learning method to improve cattle distribution mapping at a finer spatial resolution for small territories like Guadeloupe.

This study develops and compares three novel landscape phylogeographic methods to assess environmental impacts on viral spread, providing guidelines for their use and open-source tools for viral epidemiology research.

This study maps global risk areas for H5N1 and H5Nx avian influenza using ecological niche models, showing increased risk in Europe, Asia, and the Americas post-2020.

This paper develops a farm distribution model to predict poultry farm locations and sizes in data-scarce regions, showing that spatial clustering increases disease transmission risk.