首页|Association of heat exposure and emergency ambulance calls:A multi-city study

Association of heat exposure and emergency ambulance calls:A multi-city study

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  • 国家科技期刊平台
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Evidence of the impact of ambient temperatures on emergency ambulance calls(EACs)in developing countries contributes to the improvement and complete understanding of the acute health effects of temperatures.This study aimed to examine the impacts and burden of heat on EACs in China,quantify the contributions of regional modifiers,and identify the vulnerable populations.A semi-parametric generalized additive model with a Poisson distribution was used to analyze the city-specific impacts of the daily maximum temperature(Tmax)on EACs in June-August in 2014-2017.Stratified analyses by sex and age were performed to identify the vulnerable sub-populations.Meta-analysis was undertaken to illustrate the pooled associations.Further subgroup analysis,stratified by climate,latitude,and per capita disposable income(PCDI),and meta-regression analysis were conducted to explore the regional heterogeneity and quantify the contributions of possible modifiers.The city-and region-specific attributable fractions of EACs attributable to heat were calculated.Strong associations were observed between the daily Tmax and total EACs in all cities.A total of 11.7％(95％confidence interval(CI):11.2％—12.3％)of EACs were attributed to high temperatures in ten Chinese cities,and the central region with a low level of PCDI had the highest attributable fraction of 17.8％(95％CI:17.2％—18.4％).People living in the central region with lower PCDI,and those aged 18-44 and 0-6 years were more vulnerable to heat than the others.The combined effects of PCDI,temperature,and latitude contributed 88.6％of the regional heterogeneity.The results complemented the understanding of the burden of EACs attributable to heat in developing countries and the quantitative contribution of regional modifiers.

Attributable fractionEmergency ambulance callsHigh temperatureRegional modifiersRisk assessment

LI Yong-Hong、YE Dian-Xiu、LIU Yue、LI Na、MENG Cong-Shen、WANG Yan、WANG Yu、JIN Xin、Peng BI、Shilu TONG、CHENG Yi-Bin、YAO Xiao-Yuan

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China CDC Key Laboratory of Environment and Population Health,National Institute of Environmental Health,Chinese Center for Disease Control and Prevention,Beijing,100021,China

National Climate Center China Meteorological Administration,Beijing,100081,China

School of Public Health,The University of Adelaide,Adelaide,SA5000,Australia

Shanghai Children's Medical Center,School of Medicine,Shanghai Jiao-Tong University,Shanghai,200025,China

School of Public Health,Institute of Environment and Population Health,Anhui Medical University,Hefei,230032,China

School of Public Health and Social Work,Queensland University of Technology,Brisbane,4000,Australia

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This study was supported by the Special Foundation of Basic Science and Technology Resources Survey from the Ministry of ScienceThis study was supported by the Special Foundation of Basic Science and Technology Resources Survey from the Ministry of Science

2017FY1012012017FY101206

2021

气候变化研究进展(英文版)
国家气候中心

气候变化研究进展(英文版)

CSCDSCI
影响因子：0.806
ISSN：1674-9278
年,卷(期)：2021.12(5)
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