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Assessing the geographical distribution of comorbidity among commercially insured individuals in South Africa.

Cristina MannieHadi Kharrazi
Published in: BMC public health (2020)
Our results show underlying disparities in CMI at national, provincial, and district levels. Use of geo-level CMI scores, along with other social data affecting health outcomes, can enable public health departments to improve the management of disease burdens locally and nationally. Our results could also improve the identification of underserved individuals, hence bridging the gap between public health and population health management efforts.
Keyphrases
  • public health
  • south africa
  • quality improvement
  • healthcare
  • hiv positive
  • mental health
  • big data
  • machine learning
  • deep learning
  • bioinformatics analysis
  • affordable care act