Bioinformatics | HIV Infection & AIDS: Basic Science
A Pan-European phylodynamic study of HIV-1 transmission networks
Prabhav Kalaghatgi*, Glenn Lawyer
*Corresponding author: Prabhav Kalaghatgi
Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, Germany
F1000Posters 2012, 3: 1240 (poster) [English]
Poster [1.47 MB]
Presented at
European Conference on Computational Biology 2012,
8 - 11 Sep 2012, E18
According to the UNAIDS 2010 update, as of 2009, 2.2 million people were living with HIV/AIDS in Europe and Central Asia with high variability in the dominant mode of transmission across Europe reported by the European Centre for Disease Prevention and Control (ECDC). The rapid evolution of HIV on the same order of time as its transmission allows for reconstruction of a transmission network. This study reconstructs this network and elucidates spatio-temporal patterns in the growth of the HIV epidemic.
The reconstructed transmission graph is highly variable in country of origin of infection indicating that the growth of HIV has been by endogenous transmission. The temporal growth in epidemic clusters is episodic suggesting an intra-community growth of infections.
Is to begin an investigation of variance in spatio-temporal patterns across various transmission modes and countries.
No relevant competing interests disclosed.
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