用不同的暴露估计方法对整个中东地区的温度死亡率相关性进行比较
Yazan Alwadi1, Barrak Alahmad1, Marc G Weisskopf1
1Environmental Health Department, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
人口加权温度平均值改善了中东地区的热死亡率估计. 这种方法更好地捕捉局部暴露,与传统车站温度相比,将可归因于热量的死亡率估计增加15%.
科学领域:
- 环境流行病学环境流行病学
- 气候变化和健康问题
- 公共卫生研究 公共卫生研究
背景情况:
- 传统的温度健康研究通常使用车站数据或网格平均值.
- 人口加权平均值可以提高在温度和人口变化的地区的准确性.
- 很少有研究在北美和欧洲以外的炎热,研究不足的地区研究了这一点.
研究的目的:
- 为了证明人口加权温度暴露在中东地区的实用性,一个气候热点.
- 通过使用不同的暴露测量方法来评估温度与死亡率的关联.
主要方法:
- 在12个中东国家的152个行政区域 (2003-2020年) 使用每天1公里分辨率的温度数据集.
- 每天计算的最低和最高人口加权和未加权的空间平均温度.
- 雇佣分布式滞后非线性模型分析了科威特和约旦的温度-死亡率关联,比较了车站,未加权和人口加权的温度.
主要成果:
- 人口加权和未加权的空间平均值产生了类似的暴露-反应曲线,与车站温度不同.
- 最低死亡温度有所变化:科威特 (站点:30.2°C,未加权:28.6°C,加权:28.3°C);约旦 (站点:20.6°C,未加权:20.9°C,加权:20°C).
- 使用人口加权温度,与科威特和约旦的车站温度相比,因热而导致的死亡率增加了15%.
结论:
- 空间平均值 (加权或未加权) 对于估计可归因于热量的死亡率是有价值的,特别是在数据有限的地区,如中东.
- 人口加权温度可能更好地代表人口聚集的地区局部热暴露.
- 需要进行进一步的研究,以充分确定人口加权比未加权空间平均值的额外好处.
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