PLoS ONE (Jan 2022)

Geospatial analysis of blindness within rural and urban counties

  • Facundo G. Sanchez,
  • Stuart K. Gardiner,
  • Shaban Demirel,
  • Jack P. Rees,
  • Steven L. Mansberger

Journal volume & issue
Vol. 17, no. 10

Abstract

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Purpose To determine the associations of blindness within rural and urban counties using a registry of blind persons and geospatial analytics. Methods We used the Oregon Commission for the Blind registry to determine the number of persons who are legally blind, as well as licensure data to determine the density of eye care providers (optometrists and ophthalmologists) within each county of the State of Oregon. We used geospatial statistics, analysis of variance, and logistic regression to determine the explanatory variables associated with blindness within counties. Results We included 8350 individuals who are legally blind within the state of Oregon in the calendar year 2015. The mean observed prevalence of registered blindness was 0.21% and ranged almost 9-fold from 0.04% to 0.58% among counties (p Conclusion 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.