Simon Dellicour

This study uses phylogeographic and phylodynamic methods to analyze DENV genome data, revealing asymmetric global spread patterns and the role of travel over climate in DENV transmission.

The paper presents tools to harmonize viral genomic data across repositories and mask lab-specific artifacts, improving phylogenetic analysis accuracy.

This study identifies breeding pig trade as a key driver of swine influenza A virus dispersal across Europe using phylogeographic analysis of genomic sequences.

The paper identifies the emergence of D1.1 reassortant H5N1 viruses in North America, which show increased transmissibility, host range, and human spillover potential.

Boosted regression trees predict, one year ahead, where human tick-borne encephalitis (TBE) cases are likely in Europe (AUC 0.85 regional, 0.82 municipal), with probability rising in central-western Europe.

This study uses whole-genome sequencing and phylodynamic methods to analyze the evolutionary history and ecological dynamics of Jamestown Canyon virus, revealing its slow evolution and transmission patterns.

This study assesses the risk of human exposure to dengue, chikungunya, and Zika viruses in Europe using ecological niche modeling, showing increased risk due to climate change.

This paper evaluates an adjusted Bayes factor method to reduce sampling bias in discrete phylogeographic analysis using CTMC models.

This study identifies 209 H5Nx reassortant strains of avian influenza viruses from 2020-2024, showing that reassortants from Europe had greater host range and persistence than those from Asia.

This study traces the historical and phylogeographical spread of Rice yellow mottle virus (RYMV) in East Africa, linking its dispersal to rice cultivation, trade, and human activities.

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 evaluates dispersal metrics for viruses using simulation and compares their spread in animal populations, finding robustness to sampling effort and human-mediated dispersal signatures.

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 introduces PIV models to estimate dispersal velocity of evolving lineages and shows improved accuracy in predicting pathogen spread using West Nile virus data.

This study reconstructs the emergence and spread of Powassan virus lineage II in the northeastern U.S. using genomic data, finding a south-to-north dispersal pattern and population growth.

This study reports genomic surveillance in Rwanda from June to September 2021, showing the rapid spread and dominance of the Delta variant over other lineages, with implications for cross-border transmission.

This study analyzes SARS-CoV-2 genomic sequences from Rwanda to track variant evolution and regional spread, identifying emerging sub-lineages and VOCs introduced through travel.

This study analyzes 1600 Ebola virus genomes to show viral spread followed a gravity model, with cross-border transmission before border closures contributing to an international epidemic.