Now showing items 1-3 of 3

    • Pervasive and non-random recombination in near full-length HIV genomes from Uganda 

      Kitayimbwa, John M.; Grant, Heather E.; Hodcroft, Emma B.; Ssemwanga, Deogratius; Gonzalo, Yebra; Gomez, Luis Roger Esquivel; Frampton, Dan; Gall, Astrid; Kellam, Paul; Oliveira, Tulio de; Bbosa, Nicholas; Nsubuga, Rebecca N.; Kibengo, Freddie; Kwan, Tsz Ho; Lycett, Samantha; Kao, Rowland; Robertson, David L.; Ratmann, Oliver; Fraser, Christophe; Pillay, Deenan; Kaleebu, Pontiano; Brown, Andrew J. Leigh (Virus Evolution, 2020)
      Recombination is an important feature of HIV evolution, occurring both within and between the major branches of diversity (subtypes). The Ugandan epidemic is primarily composed of two subtypes, A1 and D that have been ...
    • Performance of an open source facial recognition system for unique patient matching in a resource-limited setting 

      Kitayimbwa, John M.; Were, Martin C.; Ampamyaa, Sight (International Journal of Medical Informatics, 2020)
      Background: The lack of unique patient identifiers is a challenge to patient care in developing countries. Probabilistic and deterministic matching approaches remain sub-optimal. However, affordable and scalable biometric ...
    • Phylogenetic Networks and Parameters Inferred from HIV Nucleotide Sequences of High-Risk and General Population Groups in Uganda: Implications for Epidemic Control 

      Kitayimbwa, John M.; Bbosa, Nicholas; Ssemwanga, Deogratius; Nsubuga, Rebecca N.; Kiwanuka, Noah; Bagaya, Bernard S.; Ssekagiri, Alfred; Gonzalo, Yebra; Kaleebu, Pontiano; Leigh-Brown, Andrew (Viruses, 2021)
      Phylogenetic inference is useful in characterising HIV transmission networks and assessing where prevention is likely to have the greatest impact. However, estimating parameters that influence the network structure is still ...