Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection

Erik M. Volz, James S. Koopman, Melissa J. Ward, Andrew Leigh Brown, Simon D. W. Frost

Research output: Contribution to journalArticlepeer-review

Abstract

Diversity of viral genetic sequences depends on epidemiological mechanisms and dynamics, however the exact mechanisms responsible for patterns observed in phylogenies of HIV remain poorly understood. We observe that virus taken from patients with early/acute HIV infection are more likely to be closely related. By developing a mathematical model of HIV transmission, we show how these and other patterns arise as a simple consequence of intensified transmission during the early/acute stage of HIV infection, however observing these patterns is highly dependent on sampling a significant fraction of prevalent infections.

Original languageEnglish
Article numbere1002552
JournalPLoS Computational Biology
Volume8
Issue number6
DOIs
Publication statusPublished - 28 Jun 2012

Fingerprint

Dive into the research topics of 'Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection'. Together they form a unique fingerprint.

Cite this