Towards a phylogenetic measure to quantify HIV incidence
In order to aid assessment of HIV epidemics, we describe the development of a tree statistic, rooted in coalescent theory, which we use to relate epidemiological parameters to a phylogenetic tree. We show that the presented tree statistic enables differentiation of epidemiological parameters, while only relying on phylogenetic trees, thus enabling the construction of new methods to ascertain the epidemiological state of an HIV epidemic.
has studied Computer Science (M.Sc.) at the Vrije Universiteit Brussel. He is
currently enrolled in a PhD at the Université Libre de Bruxelles, where his
research is centered around the genetic origins of rare diseases.