Title |
Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China
|
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Published in |
Global Health Research and Policy, April 2017
|
DOI | 10.1186/s41256-017-0030-2 |
Pubmed ID | |
Authors |
Yunquan Zhang, Renjie Feng, Ran Wu, Peirong Zhong, Xiaodong Tan, Kai Wu, Lu Ma |
Abstract |
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. 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. 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. 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. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 14 | 23% |
Researcher | 11 | 18% |
Student > Master | 8 | 13% |
Student > Bachelor | 4 | 7% |
Student > Postgraduate | 2 | 3% |
Other | 3 | 5% |
Unknown | 18 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 8 | 13% |
Social Sciences | 7 | 12% |
Nursing and Health Professions | 5 | 8% |
Earth and Planetary Sciences | 4 | 7% |
Medicine and Dentistry | 4 | 7% |
Other | 13 | 22% |
Unknown | 19 | 32% |