Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea.
Department of Environmental and Energy Engineering, Anyang University, Anyang, Korea.
Epidemiol Health. 2022;44:e2022071. doi: 10.4178/epih.e2022071. Epub 2022 Sep 7.
Public concern about the adverse health effects of air pollution has grown rapidly in Korea, and there has been increasing demand for research on ways to minimize the health effects of air pollution. Integrating large epidemiological data and air pollution exposure levels can provide a data infrastructure for studying ambient air pollution and its health effects. The Korean Genome and Epidemiology Study (KoGES), a large population-based study, has been used in many epidemiological studies of chronic diseases. Therefore, KoGES cohort data were linked to air pollution data as a national resource for air pollution studies. Air pollution data were produced using community multiscale air quality modeling with additional adjustment of monitoring data, satellite-derived aerosol optical depth, normalized difference vegetation index, and meteorological data to increase the accuracy and spatial resolution. The modeled air pollution data were linked to the KoGES cohort based on participants' geocoded residential addresses in grids of 1 km (particulate matter) or 9 km (gaseous air pollutants and meteorological variables). As the integrated data become available to all researchers, this resource is expected to serve as a useful infrastructure for research on the health effects of air pollution.
公众对空气污染对健康的不良影响的担忧在韩国迅速增长，对研究减轻空气污染对健康的影响的需求也越来越大。整合大型流行病学数据和空气污染暴露水平，可以为研究环境空气污染及其健康影响提供数据基础。韩国基因组与流行病学研究（KoGES）是一项大型的基于人群的研究，已被用于许多慢性疾病的流行病学研究。因此，KoGES 队列数据被链接到空气污染数据中，作为空气污染研究的国家资源。空气污染数据是使用社区多尺度空气质量模型生成的，并对监测数据、卫星衍生的气溶胶光学深度、归一化差异植被指数和气象数据进行了额外的调整，以提高准确性和空间分辨率。基于参与者在 1 公里（颗粒物）或 9 公里（气态空气污染物和气象变量）网格中的地理编码居住地址，将模拟的空气污染数据与 KoGES 队列进行了链接。随着综合数据可供所有研究人员使用，预计这一资源将成为研究空气污染对健康影响的有用基础设施。
