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Can HIV recent infection surveillance help us better understand where primary prevention efforts should be targeted? Results of three pilots integrating a recent infection testing algorithm into routine programme activities in Kenya and Zimbabwe.

Brian D RiceMariken de WitSusie WeltyKathryn RisherFrances Mary CowanGary MurphySungai T ChabataWanjiru WaruiruSitholubuhle MagutshwaJohn MotokuDaniel KwaroBenard OchiengGeorges ReniersGeorge Rutherford
Published in: Journal of the International AIDS Society (2021)
We successfully identified recently acquired infections among persons testing HIV-positive in routine testing settings and highlight the importance of incorporating additional information to accurately classify recent infection. We identified a number of groups with a significantly higher proportion of recent infection, suggesting recent infection surveillance, when rolled-out nationally, may help in further targeting primary prevention efforts.
Keyphrases
  • hiv positive
  • antiretroviral therapy
  • public health
  • human immunodeficiency virus
  • machine learning
  • healthcare
  • hepatitis c virus
  • clinical trial
  • deep learning
  • social media
  • double blind