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In this satellite symposium, PANGEA researchers will present their findings on HIV transmission cluster size distribution in Africa. This research has been conducted in key and general population groups in Uganda, for genetically similar HIV infections in the Ya Tsie trial in Bostwana, for new diagnoses among HIV-1 sub-epidemics in Rakai, Uganda, and for the generalised HIV epidemic in the broader African setting. The aim is to motivate a discussion of how cluster analysis can be used to inform more effective public health strategies in a generalised epidemic. PANGEA stands for "Phylogenetics And Networks for Generalised Epidemics in Africa". The overarching goal of the PANGEA consortium is to identify individual and population level factors that drive the epidemic using HIV-1 phylogenetic data, and translate these findings into information that can be used to more effectively target interventions. PANGEA consists of many partners in Africa, Europe and the US.

18:15
5 min
Opening remarks
Nicholas BBOSA, Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene & Tropical Medicine (LSHTM) Uganda Research Unit, Uganda
18:20
15 min
HIV transmission cluster size distribution in a generalized HIV epidemic in Zambia
Newton OTECKO, University of Oxford, United Kingdom
18:35
15 min
Clusters in key and general population groups in Uganda
Nicholas BBOSA, Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene & Tropical Medicine (LSHTM) Uganda Research Unit, Uganda
18:50
15 min
Distribution of New Diagnoses among HIV-1 Sub-epidemics in Rakai, Uganda
Mary Kathryn GRABOWSKI, Johns Hopkins University, United States
19:05
10 min
Phylogenetic clustering in a simulated African HIV epidemic
Rafael NUNEZ, Institute for Disease Modeling, Bill & Melinda Gates Foundation, United States
19:15
15 min
What do cluster size distributions mean for public health?
Christophe FRASER, Big Data Institute, United Kingdom
19:30
15 min
Discussion
Christophe FRASER, Big Data Institute, United Kingdom
Newton OTECKO, University of Oxford, United Kingdom
Mary Kathryn GRABOWSKI, Johns Hopkins University, United States
Nicholas BBOSA, Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene & Tropical Medicine (LSHTM) Uganda Research Unit, Uganda
Thumbi NDUNG'U, Africa Health Research Institute, University of KwaZulu-Natal, South Africa
Rafael NUNEZ, Institute for Disease Modeling, Bill & Melinda Gates Foundation, United States
Sikhulile MOYO, Botswana Harvard AIDS Institute, Botswana
David BONSALL, University of Oxford, United Kingdom