Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC 27709, USA.
Int J Environ Res Public Health. 2010 Jul;7(7):2866-80. doi: 10.3390/ijerph7072866. Epub 2010 Jul 14.
There is a growing interest in quantifying the health impacts of climate change. This paper examines the risks of future ozone levels on non-accidental mortality across 19 urban communities in Southeastern United States. We present a modeling framework that integrates data from climate model outputs, historical meteorology and ozone observations, and a health surveillance database. We first modeled present-day relationships between observed maximum daily 8-hour average ozone concentrations and meteorology measured during the year 2000. Future ozone concentrations for the period 2041 to 2050 were then projected using calibrated climate model output data from the North American Regional Climate Change Assessment Program. Daily community-level mortality counts for the period 1987 to 2000 were obtained from the National Mortality, Morbidity and Air Pollution Study. Controlling for temperature, dew-point temperature, and seasonality, relative risks associated with short-term exposure to ambient ozone during the summer months were estimated using a multi-site time series design. We estimated an increase of 0.43 ppb (95% PI: 0.14-0.75) in average ozone concentration during the 2040's compared to 2000 due to climate change alone. This corresponds to a 0.01% increase in mortality rate and 45.2 (95% PI: 3.26-87.1) premature deaths in the study communities attributable to the increase in future ozone level.
人们越来越关注量化气候变化对健康的影响。本文考察了未来臭氧水平对美国东南部 19 个城市社区非意外死亡率的风险。我们提出了一个建模框架,该框架整合了气候模型输出、历史气象和臭氧观测以及健康监测数据库的数据。我们首先对 2000 年观测到的最大日 8 小时平均臭氧浓度与当年气象数据之间的关系进行了建模。然后,使用北美区域气候变化评估计划的校准气候模型输出数据来预测 2041 年至 2050 年期间的未来臭氧浓度。1987 年至 2000 年期间的每日社区死亡率数据来自国家死亡率、发病率和空气污染研究。控制温度、露点温度和季节性因素后,使用多地点时间序列设计估计了夏季短期暴露于环境臭氧的相对风险。我们估计,仅由于气候变化,2040 年代臭氧浓度平均增加 0.43 ppb(95%置信区间:0.14-0.75)。这相当于研究社区中死亡率增加 0.01%,归因于未来臭氧水平升高的过早死亡人数为 45.2(95%置信区间:3.26-87.1)。