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Estimating the burden of cardiovascular risk in community dwellers over 40 years old in South Africa, Kenya, Burkina Faso and Ghana.

Ryan G WagnerNigel J CrowtherLisa K MicklesfieldRomuald Palwende BouaEngelbert A NonterahFelistas MashinyaShukri F MohamedGershim AsikiStephen M TollmanMichèle RamsayJustine I Davies
Published in: BMJ global health (2021)
The African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.
Keyphrases
  • machine learning
  • south africa
  • healthcare
  • public health
  • deep learning
  • risk factors
  • drug delivery
  • human immunodeficiency virus
  • cancer therapy
  • quality improvement
  • combination therapy