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Geospatial analysis of blindness within rural and urban counties.

Facundo G SanchezStuart K GardinerShaban DemirelJack P ReesSteven L Mansberger
Published in: PloS one (2022)
Geospatial analytics identified counties with higher and lower than expected proportions of blindness even when adjusted for sociodemographic factors. Clinicians and researchers may use the methods and results of this study to better understand the distribution of individuals with blindness and the associated factors to help design public health interventions.
Keyphrases
  • public health
  • south africa
  • big data
  • machine learning
  • artificial intelligence