Henrik Sjödin

The paper applies niche-evolution theory to study how host species similarity and interactions influence evolutionary host shifts in pathogen adaptation.

This paper develops a machine learning framework to predict human infection potential of coronaviruses using spike protein sequences, identifying motifs KIQ and LEP associated with human infection.

The paper develops a climate and population dependent diffusion model to predict the spread of Aedes albopictus mosquitoes in Europe, showing high accuracy in forecasting new populations.

This study estimates temperature sensitivity of West Nile virus transmission using Bayesian hierarchical models and experimental data on mosquito-pathogen traits.