In modern applications of molecular epidemiology, genetic sequence data are routinely
used to identify clusters of transmission in rapidly evolving pathogens, most notably HIV-1 …

The Bacillus cereus group comprises multiple species capable of causing emetic or
diarrheal foodborne illness. Despite being responsible for tens of thousands of illnesses …

Subspecies nomenclature systems of pathogens are increasingly based on sequence data.
The use of phylogenetics to identify and differentiate between clusters of genetically similar …

This paper proposes a cluster-based method to analyze the evolution of multivariate time
series and applies this to the COVID-19 pandemic. On each day, we partition countries into …

In Germany, the mitigation of CO2 emissions as well as the nuclear power phase-out are
important political goals in the course of the sustainable energy transformation process (so …

Comparative analysis of HIV sequences in real time for publi... : Current Opinion in HIV and
AIDS Comparative analysis of HIV sequences in real time for public health : Current Opinion …

Identifying linked cases of infection is a critical component of the public health response to
viral infectious diseases. In a clinical context, there is a need to make rapid assessments of …

Motivation The ability to simulate epidemics as a function of model parameters allows
insights that are unobtainable from real datasets. Further, reconstructing transmission …

Population structure influences genealogical patterns, however, data pertaining to how
populations are structured are often unavailable or not directly observable. Inference of …

HIV patients form clusters in HIV transmission networks. Accurate identification of these
transmission clusters is essential to effectively target public health interventions. One reason …