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

Youn, Jong-Sang; Seo, Jeong-Won; Park, Wonjun; Park, SeJoon; Jeon, Ki-Joon

doi:10.3390/ijerph17144969

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

Youn, Jong-Sang;
Seo, Jeong-Won;
Park, Wonjun;
Park, SeJoon;
Jeon, Ki-Joon

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WEB OF SCIENCE

11

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SCOPUS

14

초록

Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM10, NO2, SO2, 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 x 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.

키워드

dry eye syndrome; air pollutants; meteorological factors; prediction model; regional deviation; RISK-FACTORS; PREVALENCE; DISEASE; EPIDEMIOLOGY; DYSFUNCTION; POLLUTION; SYMPTOMS; IMPACT; SIGNS

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

저자: Youn, Jong-Sang; Seo, Jeong-Won; Park, Wonjun; Park, SeJoon; Jeon, Ki-Joon

DOI: 10.3390/ijerph17144969

발행일: 2020-07

유형: Article

저널명: International Journal of Environmental Research and Public Health

권: 17

호: 14