Data from: Inferring HIV-1 transmission networks and sources of epidemic spread in Africa with deep-sequence phylogenetic analysis

Oliver Ratmann, M. Kate Grabowski, Matthew Hall, Tanya Golubchik, Chris Wymant, Lucie Abeler-Dörner, David Bonsall, Anne Hoppe, Andrew Leigh Brown, Tulio De Oliveira, Astrid Gall, Paul Kellam, Deenan Pillay, Joseph Kagaayi, Godfrey Kigozi, Thomas C. Quinn, Maria J. Wawer, Oliver Laeyendecker, David Serwadda, Ronald H. Gray, Christophe Fraser, &
To prevent new infections with human immunodeficiency virus type 1 (HIV-1) in sub-Saharan Africa, UNAIDS recommends targeting interventions to populations that are at high risk of acquiring and passing on the virus. Yet it is often unclear who and where these ‘source’ populations are. Here we demonstrate how viral deep-sequencing can be used to reconstruct HIV-1 transmission networks and to infer the direction of transmission in these networks. We are able to deep-sequence virus from...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?