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

Jong-Sang Youn, Jeong-Won Seo, Wonjun Park, SeJoon Park and Ki-Joon Jeon
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Jong-Sang Youn: Department of Environmental Engineering, Inha University, Incheon 22212, Korea
Jeong-Won Seo: Department of Ophthalmology, Hallym University, Dongtan Sacred Heart Hospital, Hwaseong-si 18450, Korea
Wonjun Park: School of Industrial Management Engineering, Korea University, Seoul 02841, Korea
SeJoon Park: Division of Energy Resources Engineering and Industrial Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Ki-Joon Jeon: Department of Environmental Engineering, Inha University, Incheon 22212, Korea

IJERPH, 2020, vol. 17, issue 14, 1-12

Abstract: Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM 10 , NO 2 , SO 2 , O 3 , 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 (R 2 = 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 NO 2 and relative humidity are the factors impacting regional deviations in the prediction model.

Keywords: dry eye syndrome; air pollutants; meteorological factors; prediction model; regional deviation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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