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热健康预警系统的系统评价:加强实现有效健康成果的框架

A Systematic Review of Heat Health Warning Systems: Enhancing the Framework Towards Effective Health Outcomes.

作者信息

Chandra N Sai Venkata Sarath, Lee Jason Kai Wei

机构信息

School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.

Heat Resilience and Performance Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

出版信息

Curr Environ Health Rep. 2025 Aug 21;12(1):31. doi: 10.1007/s40572-025-00496-5.

Abstract

PURPOSE OF REVIEW

Heat Health Warning Systems (HHWS) reduce heat-related morbidity and mortality. We reviewed scientific studies on HHWS that use meteorological variables, local climate-epidemiological evidence, personalization, and built environment factors to determine heat stress thresholds. We identified key factors to enhance their precision and effectiveness.

RECENT FINDINGS

We categorized the findings into three groups. First, most HHWS rely on temperature-mortality relationships. Second, future HHWS should integrate climate-epidemiology data, including cause-specific mortality and morbidity. Third, improvements can be made by incorporating local, built environment, and personalized factors. Our findings highlight a diverse range of factors that can influence the nature of heat warnings and contribute to improving HHWS. Temperature based HHWS are predominantly used across the world while other meteorological variables that include humidity and take actual health impact outcomes based on heat stress indices should be included for better protection. The precision of HHWS can be improved by tapping advancements in digital technologies to develop more targeted HHWS without the need for authorities to issue warnings, and by considering built environment, and personalized factors. The effectiveness of HHWS can be further improved by considering local climate-epidemiological evidence including morbidity and actual health outcomes.

摘要

综述目的

热健康预警系统(HHWS)可降低与热相关的发病率和死亡率。我们回顾了关于HHWS的科学研究,这些研究利用气象变量、当地气候流行病学证据、个性化因素和建筑环境因素来确定热应激阈值。我们确定了提高其精度和有效性的关键因素。

最新发现

我们将研究结果分为三组。第一,大多数HHWS依赖于温度与死亡率的关系。第二,未来的HHWS应整合气候流行病学数据,包括特定病因的死亡率和发病率。第三,可以通过纳入当地、建筑环境和个性化因素来进行改进。我们的研究结果强调了一系列不同的因素,这些因素会影响热预警的性质,并有助于改进HHWS。基于温度的HHWS在全球范围内被广泛使用,而其他气象变量(包括湿度)以及基于热应激指数的实际健康影响结果也应被纳入,以提供更好的保护。通过利用数字技术的进步来开发更具针对性的HHWS(无需当局发布预警),并考虑建筑环境和个性化因素,可以提高HHWS的精度。通过考虑包括发病率和实际健康结果在内的当地气候流行病学证据,可以进一步提高HHWS的有效性。

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