Climate Change and Health
A review on heat-wave early warning based on population health risk
Chen Chen, Liu Jing, Zhong Yu, Li Tiantian
Published 2022-10-06
Cite as Chin J Prev Med, 2022, 56(10): 1461-1466. DOI: 10.3760/cma.j.cn112150-20220429-00433-1
Abstract
Global warming has caused frequent heat waves worldwide. In order to respond to heat waves and enhance the public′s protection abilities, Europe, the United States and other countries have extensively carried out research on heat-health early warning, and initially achieved good health benefits based on a heat-health early warning system. However, the research on heat-health early warning is still limited in China, especially on health risks at the population level. Based on evidence-based thinking, our study combs the research progress of heat-health early warning from four aspects: early warning indicators, early warning models, early warning thresholds, and early warning ranks, and clarifies the key points of the construction of heat-health early warning models and rank schemes, in order to provide early warning technology for the rapid development of national heat-heath early warning in China.
Key words:
High temperature; Heat waves; Health risk; Early warning
Contributor Information
Chen Chen
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Liu Jing
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
College of Public Health, Hebei University, Shijiazhuang 071002, China
Zhong Yu
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Li Tiantian
China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
