Association between compound extreme weather event types and the spectrum of emergency ambulance calls: A metropolitan study in Shenzhen.

Autor: Huang X; School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan, Shenzhen, China., Zheng J; School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China; China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China., He Y; School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan, Shenzhen, China., Zhou Q; School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan, Shenzhen, China., Guang X; School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan, Shenzhen, China., Diao K; Shenzhen Health Development Research and Data Management Center, Futian, Shenzhen, China., Zhang N; Vanke School of Public Health, Tsinghua University, Haidian, Beijing, China., Wu R; Shenzhen Emergency Medical Center, ShenZhen, China. Electronic address: 316549677@qq.com., Huang J; School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan, Shenzhen, China. Electronic address: huangj@sustech.edu.cn., Zhu B; School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan, Shenzhen, China. Electronic address: zhub6@sustech.edu.cn.
Jazyk: angličtina
Zdroj: Environmental research [Environ Res] 2024 Dec 15; Vol. 263 (Pt 1), pp. 120074. Date of Electronic Publication: 2024 Sep 26.
DOI: 10.1016/j.envres.2024.120074
Abstrakt: Background: Compound extreme weather events, a combination of weather and climate drivers that lead to potentially high-impact events, are becoming more frequent with climate change. The number of emergency ambulance calls (EACs) is expected to increase during compound extreme weather events. However, the extent of these increases and the trends over time have not been fully assessed.
Methods: We obtained 242,165 EAC records for Shenzhen from January 1, 2020, to June 30, 2023. A compound extreme weather event was defined as the occurrence of at least two extreme weather events on the same day. A distributed lag non-linear model was used to explore the exposure-response and lag-response relationships between various compound extreme weather events and all-cause and specific-cause EACs.
Finding: Compound Cold & Strong Monsoon events had more significant impacts on EACs for all causes and endocrine diseases, with the cumulative relative risk (CRR) of 1.401 (95% confidence interval (CI):1.290-1.522) and 1.641 (95% CI:1.279-2.105). Compound Heat Wave & Lightning events had more obvious impacts on digestive disease and endocrine disease EACs, with the CRRs of 1.185 (95% CI:1.041-1.348) and 1.278 (95% CI:0.954-1.711), respectively. Compound Rainstorm & Lightning & Heat Wave events also led to increased RRs of EACs for all causes (CRR: 1.168, 95% CI:1.012-1.348), cardiovascular diseases (CRR: 1.221, 95% CI:0.917-1.624), digestive diseases (CRR: 1.395, 95% CI:1.130-1.721), and endocrine diseases (CRR: 1.972, 95% CI:1.235-3.149). There was no increased RR in the compound Rainstorm & Lightning events for all types of EACs.
Interpretation: Our study explored the relationship between EACs and compound extreme weather events, suggesting that compound extreme weather events are associated with the acute onset of cardiovascular diseases, digestive diseases, and endocrine diseases, increasing the burden on emergency ambulance resources for both all causes and specific diseases mentioned above.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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