인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Due to climate change, extreme heat events are becoming more frequent and intense, and their impacts on health are an increasing major concern in public health. For more effective interventions, it is crucial to identify precisely high-risk areas considering regional characteristics. Therefore, this study aimed to assess the impact of high temperatures on mortality in South Korea at a small geographic scale using high-resolution data. We collected mortality and temperature data during the summer season (June-September) from 2015 to 2019 across 247 districts in inland South Korea. Also, we used satellite datasets to gather regional variables at a 1 km grid level. Through a three-stage analysis, we 1) calculated the heat-related mortality risk for each district, 2) estimated a pooled risk at the national level and derived more stable predictions for each district, and 3) estimated the risk at a 1 km grid resolution using regional variables and fitted a meta-regression model. The small-area estimates showed variations in risk across grids, even within the same district. Additionally, the heat-related mortality risk was higher for cardiovascular mortality than all-cause mortality. Among the regional variables, the proportion of the elderly population, urban cover fraction, and distance to emergency medical facilities were positively associated with the heat-related mortality risk. In conclusion, this study suggests the need to identify areas vulnerable to heat-related mortality risk at high resolution. Since the risk can vary depending on regional characteristics, it is crucial to develop response strategies considering these factors.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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