Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data

• 발행기관: 한국역학회
• 저자명: Hae Dong Woo Dae Sub Song Sun Ho Choi Jae Kyung Park Kyoungho Lee Hui-Young Yun 외
• 간행물 정보: 『Epidemiology and Health』44, 1~7쪽, 전체 7쪽
• 주제분류: 의약학 > 면역학
• 파일형태: PDF
• 발행일자: 2022.01.01

영문 초록

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.

키워드

Air pollution Health Dataset Particulate matter