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

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...

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Main Authors: Yong-Hong Li, Dian-Xiu Ye, Yue Liu, Na Li, Cong-Shen Meng, Yan Wang, Yu Wang, Xin Jin, Peng Bi, Shilu Tong, Yi-Bin Cheng, Xiao-Yuan Yao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-10-01
Series:Advances in Climate Change Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674927821000812
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author Yong-Hong Li
Dian-Xiu Ye
Yue Liu
Na Li
Cong-Shen Meng
Yan Wang
Yu Wang
Xin Jin
Peng Bi
Shilu Tong
Yi-Bin Cheng
Xiao-Yuan Yao
author_facet Yong-Hong Li
Dian-Xiu Ye
Yue Liu
Na Li
Cong-Shen Meng
Yan Wang
Yu Wang
Xin Jin
Peng Bi
Shilu Tong
Yi-Bin Cheng
Xiao-Yuan Yao
author_sort Yong-Hong Li
collection DOAJ
description 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.
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spelling doaj.art-c054260c841a451a8f87fc41fb0ed2812022-12-21T18:22:46ZengKeAi Communications Co., Ltd.Advances in Climate Change Research1674-92782021-10-01125619627Association of heat exposure and emergency ambulance calls: A multi-city studyYong-Hong Li0Dian-Xiu Ye1Yue Liu2Na Li3Cong-Shen Meng4Yan Wang5Yu Wang6Xin Jin7Peng Bi8Shilu Tong9Yi-Bin Cheng10Xiao-Yuan Yao11China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaNational Climate Center, China Meteorological Administration, Beijing, 100081, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaSchool of Public Health, The University of Adelaide, Adelaide, SA5000, AustraliaShanghai 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, AustraliaChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China; Corresponding author.China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, ChinaEvidence 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.http://www.sciencedirect.com/science/article/pii/S1674927821000812Attributable fractionEmergency ambulance callsHigh temperatureRegional modifiersRisk assessment
spellingShingle Yong-Hong Li
Dian-Xiu Ye
Yue Liu
Na Li
Cong-Shen Meng
Yan Wang
Yu Wang
Xin Jin
Peng Bi
Shilu Tong
Yi-Bin Cheng
Xiao-Yuan Yao
Association of heat exposure and emergency ambulance calls: A multi-city study
Advances in Climate Change Research
Attributable fraction
Emergency ambulance calls
High temperature
Regional modifiers
Risk assessment
title Association of heat exposure and emergency ambulance calls: A multi-city study
title_full Association of heat exposure and emergency ambulance calls: A multi-city study
title_fullStr Association of heat exposure and emergency ambulance calls: A multi-city study
title_full_unstemmed Association of heat exposure and emergency ambulance calls: A multi-city study
title_short Association of heat exposure and emergency ambulance calls: A multi-city study
title_sort association of heat exposure and emergency ambulance calls a multi city study
topic Attributable fraction
Emergency ambulance calls
High temperature
Regional modifiers
Risk assessment
url http://www.sciencedirect.com/science/article/pii/S1674927821000812
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