대기오염에 따른 환경성 질환의 인자분석: Big Data를 통한 Google 트렌드 데이터의 분석 및 영향 = Factor analysis of Environmental Disease by Air Pollution: Analysis and Implication of Google Trends Data with Big Data

다국어 초록 (Multilingual Abstract)

Objectives: The purpose of this study was to investigate the environmental pollution caused by exposure to air pollution in Korea. Therefore, it is necessary to investigate environmental and health factors through big data.
Methods: Among the environmental diseases, the data centered on “percentage per day in 2015 to 2018”. Data of environmental diseases and concentrations of air pollution monitoring network were analyzed.
Results: Lung cancer and bronchiolitis obliterans were correlated with 0.027 and 0.0158, respectively, in the contamination concentration of fine dust (PM 10 ). Ozone, COPD, allergic rhinitis, and bronchiolitis obliterans were correlated with 0.0022, 0.0028 and 0.0093, respectively. At the concentration of SO 2 and the diseases of asthma, atopic dermatitis, lung cancer and bronchiolitis obliterans were 0.0008, 0.0523, 0.0016 and 0.0126, respectively.
Conclusions: We surveyed the trends of air pollution according to the characteristics of Seoul area in Korea and evaluated the perception of Korea and the world. As a result, respiratory lung disease is thought to be a major factor in exposure to environmental pollution.

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