Seo Jeong-Won, Youn Jong-Sang, Park SeJoon, Joo Choun-Ki
Department of Ophthalmology, Hallym University, Dongtan Sacred Heart Hospital, Hwaseong-si, South Korea.
Department of Environmental Engineering, Inha University, Incheon, South Korea.
Front Pharmacol. 2018 Oct 9;9:1135. doi: 10.3389/fphar.2018.01135. eCollection 2018.
Ozone (O) is a commonly known air pollutant that causes adverse health effects. This study developed a multi-level prediction model for conjunctivitis in outpatients due to exposure to O by using 3 years of ambient O data, meteorological data, and hospital data in Seoul, South Korea. We confirmed that the rate of conjunctivitis in outpatients (conjunctivitis outpatient rate) was highly correlated with O ( = 0.49), temperature ( = 0.72), and relative humidity ( = 0.29). A multi-level regression model for the conjunctivitis outpatient rate was well-developed, on the basis of sex and age, by adding statistical factors. This model will contribute to the prediction of conjunctivitis outpatient rate for each sex and age, using O and meteorological data.
臭氧（O₃）是一种众所周知的会对健康产生不利影响的空气污染物。本研究利用韩国首尔3年的环境臭氧数据、气象数据和医院数据，开发了一个针对门诊患者因接触臭氧而患结膜炎的多层次预测模型。我们证实，门诊患者的结膜炎发病率（结膜炎门诊率）与臭氧（r = 0.49）、温度（r = 0.72）和相对湿度（r = 0.29）高度相关。在考虑性别和年龄的基础上，通过加入统计因素，建立了一个针对结膜炎门诊率的多层次回归模型。该模型将有助于利用臭氧和气象数据预测不同性别和年龄的结膜炎门诊率。
