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Model-based small area estimation methods and precise district-level HIV prevalence estimates in Uganda.

Joseph OumaCaroline JefferyColletar Anna AworAllan MurutaJoshua MusinguziRhoda K WanyenzeSam BiraroJonathan LevinJoseph J Valadez
Published in: PloS one (2021)
Although the unit-level model estimates were less precise than the area-level model estimates, they were highly correlated with the direct survey estimates and had less standard error associated with estimates than the area-level model. Unit-level models provide more accurate and reliable data to support local decision-making when unit-level auxiliary information is available.
Keyphrases
  • decision making
  • healthcare
  • human immunodeficiency virus
  • risk factors
  • hepatitis c virus
  • hiv infected
  • mass spectrometry
  • south africa
  • hiv aids
  • big data
  • artificial intelligence
  • electronic health record
  • hiv testing