Department of Environmental Sciences, University of Virginia, Charlottesville, USA.
Environ Health. 2012 Mar 25;11:16. doi: 10.1186/1476-069X-11-16.
High temperature and humidity conditions are associated with short-term elevations in the mortality rate in many United States cities. Previous research has quantified this relationship in an aggregate manner over large metropolitan areas, but within these areas the response may differ based on local-scale variability in climate, population characteristics, and socio-economic factors.
We compared the mortality response for 48 Zip Code Tabulation Areas (ZCTAs) comprising Philadelphia County, PA to determine if certain areas are associated with elevated risk during high heat stress conditions. A randomization test was used to identify mortality exceedances for various apparent temperature thresholds at both the city and local scale. We then sought to identify the environmental, demographic, and social factors associated with high-risk areas via principal components regression.
Citywide mortality increases by 9.3% on days following those with apparent temperatures over 34°C observed at 7:00 p.m. local time. During these conditions, elevated mortality rates were found for 10 of the 48 ZCTAs concentrated in the west-central portion of the County. Factors related to high heat mortality risk included proximity to locally high surface temperatures, low socioeconomic status, high density residential zoning, and age.
Within the larger Philadelphia metropolitan area, there exists statistically significant fine-scale spatial variability in the mortality response to high apparent temperatures. Future heat warning systems and mitigation and intervention measures could target these high risk areas to reduce the burden of extreme weather on summertime morbidity and mortality.
高温高湿的条件与许多美国城市的短期死亡率升高有关。先前的研究已经以聚合的方式在大都市区范围内量化了这种关系,但在这些地区,由于气候、人口特征和社会经济因素的局部尺度变化,这种反应可能会有所不同。
我们比较了宾夕法尼亚州费城县的 48 个邮政编码区(ZCTA)的死亡率响应,以确定某些地区在高温应激条件下是否与升高的风险相关。随机化检验用于确定城市和局部尺度上各种明显温度阈值的死亡率超过情况。然后,我们通过主成分回归试图确定与高风险地区相关的环境、人口和社会因素。
在当地时间晚上 7 点观察到明显温度超过 34°C 的日子之后的日子里,全市死亡率增加了 9.3%。在这些情况下,在县中西部集中的 48 个 ZCTA 中的 10 个发现了死亡率升高。与高温死亡风险相关的因素包括靠近当地高地表温度、低社会经济地位、高密度住宅分区和年龄。
在更大的费城大都市区内,明显高温对死亡率的影响存在统计学上显著的细尺度空间变异性。未来的高温预警系统以及缓解和干预措施可以针对这些高风险地区,以减少极端天气对夏季发病率和死亡率的负担。