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As incidence in many countries is falling, it is likely that HIV will increasingly move from general populations into key populations. Phylogenetic analyses can quantify the flow of virus between different groups in a population, characterised for example by location, age, sex, or risk-taking behaviour. Phylogenetics can thus help to identify which groups are at the highest risk of contracting the virus and/or at the highest risk of passing the virus on and where prevention is likely to have the highest success.
The session will explore the use of phylogenetics to understand the flow of virus in Uganda, and explore how transmission is split by age and sex. Combining phylogenetics with modelling, we will discuss which factors will influence the patterns of transmissions in the next decade, and present innovative ways to find those individuals who are usually hard to reach. Format allowing, the session could conclude with a 30-min panel discussion, providing a unique opportunity to discuss the implications for HIV prevention and future opportunities of phylogenetic analyses with a team of leading experts.
The PANGEA-HIV consortium (Phylogenetics And Networks for Generalised Epidemics in Africa) is a group of African, European and American scientists who aim to identify individual and population level factors that drive the epidemic using HIV-1 phylogenetic data, analyse the dynamics of the epidemic, and translate these findings into information that can be used to more effectively target interventions. To this aim, the consortium has sequenced over 20,000 full HIV-1 genomes over the past years. We are keen to make this resource available to other researchers. More information can be found on

SA10.01 Introduction
Joseph KAGAAYI, Rakai Health Sciences Program, Uganda
SA10.02 Lake Victoria fishing communities are sinks and not sources of HIV transmission I
Nicholas BBOSA, MRC Uganda, Uganda
SA10.03 Lake Victoria fishing communities are sinks and not sources of HIV transmission II
Oliver RATMANN, Imperial College London, United Kingdom
SA10.04 Factors driving HIV transmissions now and in the future
Christophe FRASER, University of Oxford, Big Data Institute, United Kingdom
SA10.05 Finding hard-to-reach populations
Kate GRABOWSKI, Johns Hopkins University, United States
SA10.06 Lessons learned from disseminating PopART Phylogenetics results to community stakeholders
Musonda SIMWINGA, Zambart, Uganda
SA10.07 Summary
Deogratius Ssemwenga, MRC Uganda, Uganda