Environment and Health Research Unit, South African Medical Research Council, Johannesburg, 2028, South Africa.
Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, 0028, South Africa.
Int J Biometeorol. 2024 Feb;68(2):381-392. doi: 10.1007/s00484-023-02596-z. Epub 2023 Dec 29.
Exposure to heatwaves may result in adverse human health impacts. Heat alerts in South Africa are currently based on defined temperature-fixed threshold values for large towns and cities. However, heat-health warning systems (HHWS) should incorporate metrics that have been shown to be effective predictors of negative heat-related health outcomes. This study contributes to the development of a HHWS for South Africa that can potentially minimize heat-related mortality. Distributed lag nonlinear models (DLNM) were used to assess the association between maximum and minimum temperature and diurnal temperature range (DTR) and population-adjusted mortality during summer months, and the effects were presented as incidence rate ratios (IRR). District-level thresholds for the best predictor from these three metrics were estimated with threshold regression. The mortality dataset contained records of daily registered deaths (n = 8,476,532) from 1997 to 2013 and data for the temperature indices were for the same period. Maximum temperature appeared to be the most statistically significant predictor of all-cause mortality with strong associations observed in 40 out of 52 districts. Maximum temperature was associated with increased risk of mortality in all but three of the districts. Our results also found that heat-related mortality was influenced by regional climate because the spatial distribution of the thresholds varied according to the climate zones across the country. On average, districts located in the hot, arid interior provinces of the Northern Cape and North West experienced some of the highest thresholds compared to districts located in temperate interior or coastal provinces. As the effects of climate change become more significant, population exposure to heat is increasing. Therefore, evidence-based HHWS are required to reduce heat-related mortality and morbidity. The exceedance of the maximum temperature thresholds provided in this study could be used to issue heat alerts as part of effective heat health action plans.
热浪暴露可能对人类健康产生不利影响。目前,南非的高温警报是基于大城市和城镇的规定温度固定阈值。然而,高温健康预警系统(HHWS)应纳入已被证明是负面与热相关的健康结果的有效预测指标。本研究为南非开发高温健康预警系统做出了贡献,该系统有可能最大限度地减少与热相关的死亡。分布式滞后非线性模型(DLNM)用于评估夏季最高和最低温度以及日较差(DTR)与人口调整死亡率之间的关联,其影响以发病率比(IRR)表示。使用阈值回归估计这三个指标中最佳预测指标的区级阈值。死亡率数据集包含 1997 年至 2013 年期间每日登记死亡人数(n=8,476,532)的记录,以及同期的温度指数数据。最高温度似乎是所有原因死亡率的最具统计学意义的预测指标,在 52 个区中的 40 个区中观察到强烈关联。除了三个区外,最高温度与死亡率增加的风险相关。我们的研究结果还发现,与热相关的死亡率受到区域气候的影响,因为全国不同气候带的阈值空间分布有所不同。平均而言,与位于内陆温带或沿海省份的地区相比,位于北开普省和西北省炎热干旱内陆省份的地区的阈值较高。随着气候变化的影响变得更加显著,人口暴露于热的风险也在增加。因此,需要基于证据的高温健康预警系统来降低与热相关的死亡率和发病率。本研究中提供的最高温度阈值的超过可能被用于发布高温警报,作为有效的高温健康行动计划的一部分。