Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations

Int J Environ Res Public Health. 2020 Jul 10;17(14):4969. doi: 10.3390/ijerph17144969.

Abstract

Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM10, NO2, SO2, O3, and CO), meteorological factors (temperature, humidity, and wind speed), population rate, and clinical data for South Korea. The prediction model is well fitted to the incidence rate (R2 = 0.9443 and 0.9388, p < 2.2 × 10-16). To analyze regional deviations, we classify outpatient data, air pollutant, and meteorological factors in 16 administrative districts (seven metropolitan areas and nine states). Our results confirm NO2 and relative humidity are the factors impacting regional deviations in the prediction model.

Keywords: air pollutants; dry eye syndrome; meteorological factors; prediction model; regional deviation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollutants* / toxicity
  • Air Pollution* / adverse effects
  • Air Pollution* / analysis
  • China
  • Dry Eye Syndromes* / epidemiology
  • Humans
  • Incidence
  • Meteorological Concepts
  • Particulate Matter / analysis
  • Republic of Korea / epidemiology

Substances

  • Air Pollutants
  • Particulate Matter