Moritz U. G. Kraemer

The paper analyzes the spread of H5N1 B3.13 in U.S. dairy cattle using genomic data and movement networks, finding that cattle movement, not birds, drives the outbreak.

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.

This study tracks the emergence and molecular evolution of H5N1 influenza viruses in U.S. dairy cattle, identifying increased mutation rates and positive selection after spillover from birds.

This paper uses disaggregation regression to predict dengue incidence in Africa from aggregated data, showing better alignment with reported cases than environmental suitability models.

The paper uses ZIKV genomes to estimate the origin and spread of Zika virus in Brazil and the Americas, providing a timeframe for baseline microcephaly rates.