Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China

被引：39

作者：

Zhang Y. ^{[1
]}

Feng R. ^{[1
]}

Wu R. ^{[1
]}

Zhong P. ^{[1
]}

Tan X. ^{[2
]}

Wu K. ^{[3
]}

Ma L. ^{[1
]}

机构：

[1] Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan

[2] Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuchang District, Wuhan

[3] Jiang’an District Center for Disease Control and Prevention, 3 Chezhan Road, Jiang’an District, Wuhan

来源：

Global Health Research and Policy | / 2卷 / 1期

关键词：

China; Climate change; Definition; Heat wave; Mortality; Temperature;

D O I：

10.1186/s41256-017-0030-2

中图分类号：

学科分类号：

摘要：

Background: There was no consistent definition for heat wave worldwide, while a limited number of studies have compared the mortality effect of heat wave as defined differently. This paper aimed to provide epidemiological evidence for policy makers to determine the most appropriate definition for local heat wave warning systems. Methods: We developed 45 heat wave definitions (HWs) combining temperature indicators and temperature thresholds with durations. We then assessed the impact of heat waves under various definitions on non-accidental mortality in hot season (May–September) in Wuhan, China during 2003–2010. Results: Heat waves defined by HW14 (daily mean temperature ≥ 99.0th percentile and duration ≥ 3 days) had the best predictive ability in assessing the mortality effects of heat wave with the relative risk of 1.63 (95% CI: 1.43, 1.89) for total mortality. The group-specific mortality risk using official heat wave definition of Chinese Meteorological Administration was much smaller than that using HW14. We also found that women, and the elderly (age ≥ 65) were more susceptible to heat wave effects which were stronger and longer lasting. Conclusion: These findings suggest that region specific heat wave definitions are crucial and necessary for developing efficient local heat warning systems and for providing evidence for policy makers to protect the vulnerable population. © 2017, The Author(s).

引用

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